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Bioinformatics Research and Applications [[electronic resource] ] : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / / edited by Zhipeng Cai, Ion Mandoiu, Giri Narasimhan, Pavel Skums, Xuan Guo
| Bioinformatics Research and Applications [[electronic resource] ] : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / / edited by Zhipeng Cai, Ion Mandoiu, Giri Narasimhan, Pavel Skums, Xuan Guo |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 418 p. 143 illus., 110 illus. in color.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computers Artificial intelligence Computer organization Information Systems and Communication Service Artificial Intelligence Computer Systems Organization and Communication Networks Computational Biology/Bioinformatics |
| ISBN | 3-030-57821-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentially expressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . |
| Record Nr. | UNISA-996418310203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics Research and Applications : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / / edited by Zhipeng Cai, Ion Mandoiu, Giri Narasimhan, Pavel Skums, Xuan Guo
| Bioinformatics Research and Applications : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / / edited by Zhipeng Cai, Ion Mandoiu, Giri Narasimhan, Pavel Skums, Xuan Guo |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 418 p. 143 illus., 110 illus. in color.) |
| Disciplina |
572.80285
570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computers Artificial intelligence Computer organization Information Systems and Communication Service Artificial Intelligence Computer Systems Organization and Communication Networks Computational Biology/Bioinformatics |
| ISBN | 3-030-57821-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentially expressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . |
| Record Nr. | UNINA-9910416081303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics Research and Applications [[electronic resource] ] : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3–6, 2019, Proceedings / / edited by Zhipeng Cai, Pavel Skums, Min Li
| Bioinformatics Research and Applications [[electronic resource] ] : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3–6, 2019, Proceedings / / edited by Zhipeng Cai, Pavel Skums, Min Li |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 272 p. 97 illus., 51 illus. in color.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Mathematical logic Natural language processing (Computer science) Machine learning Computational Biology/Bioinformatics Mathematical Logic and Formal Languages Natural Language Processing (NLP) Machine Learning |
| ISBN | 3-030-20242-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genome analysis -- Systems biology -- Computational proteomics -- Machine and deep learning -- Data analysis and methodology. |
| Record Nr. | UNISA-996466206403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics Research and Applications : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3–6, 2019, Proceedings / / edited by Zhipeng Cai, Pavel Skums, Min Li
| Bioinformatics Research and Applications : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3–6, 2019, Proceedings / / edited by Zhipeng Cai, Pavel Skums, Min Li |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 272 p. 97 illus., 51 illus. in color.) |
| Disciplina |
572.80285
570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Mathematical logic Natural language processing (Computer science) Machine learning Computational Biology/Bioinformatics Mathematical Logic and Formal Languages Natural Language Processing (NLP) Machine Learning |
| ISBN | 3-030-20242-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genome analysis -- Systems biology -- Computational proteomics -- Machine and deep learning -- Data analysis and methodology. |
| Record Nr. | UNINA-9910337839903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics Research and Applications [[electronic resource] ] : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings / / edited by Fa Zhang, Zhipeng Cai, Pavel Skums, Shihua Zhang
| Bioinformatics Research and Applications [[electronic resource] ] : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings / / edited by Fa Zhang, Zhipeng Cai, Pavel Skums, Shihua Zhang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 362 p. 107 illus.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Artificial intelligence Architecture, Computer Special purpose computers Microprocessors Logic design Computational Biology/Bioinformatics Artificial Intelligence Computer System Implementation Special Purpose and Application-Based Systems Processor Architectures Logic Design |
| ISBN | 3-319-94968-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Network analysis and modeling -- genomic data analysis -- cancer data analysis -- structure and interaction -- HPC and CryoEM -- machine and deep learning -- data analysis and methodology -- analysis and visualization tools -- RNA-Seq data analysis. |
| Record Nr. | UNISA-996466432403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics Research and Applications : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings / / edited by Fa Zhang, Zhipeng Cai, Pavel Skums, Shihua Zhang
| Bioinformatics Research and Applications : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings / / edited by Fa Zhang, Zhipeng Cai, Pavel Skums, Shihua Zhang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 362 p. 107 illus.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Artificial intelligence Architecture, Computer Special purpose computers Microprocessors Logic design Computational Biology/Bioinformatics Artificial Intelligence Computer System Implementation Special Purpose and Application-Based Systems Processor Architectures Logic Design |
| ISBN | 3-319-94968-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Network analysis and modeling -- genomic data analysis -- cancer data analysis -- structure and interaction -- HPC and CryoEM -- machine and deep learning -- data analysis and methodology -- analysis and visualization tools -- RNA-Seq data analysis. |
| Record Nr. | UNINA-9910349422203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics Research and Applications [[electronic resource] ] : 12th International Symposium, ISBRA 2016, Minsk, Belarus, June 5-8, 2016, Proceedings / / edited by Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky
| Bioinformatics Research and Applications [[electronic resource] ] : 12th International Symposium, ISBRA 2016, Minsk, Belarus, June 5-8, 2016, Proceedings / / edited by Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XV, 348 p. 82 illus.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Data mining Pattern recognition Biomathematics Artificial intelligence Computational Biology/Bioinformatics Data Mining and Knowledge Discovery Pattern Recognition Mathematical and Computational Biology Artificial Intelligence |
| ISBN | 3-319-38782-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Next generation sequencing data analysis -- An Efficient Algorithm for finding all pairs k-mismatch maximal common substrings -- Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads -- FSG: Fast String Grap Construction for De Novo Assembly of reads data 25 -- OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads -- High performance sensing of DNA hybridization on surface of self-organized MWCNT-arrays decorated by organometallic complexes -- Towards a more accurate error model for BioNano optical maps -- HapIso : An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads -- Protein-protein interactions and networks -- Genome-Wide Structural Modeling of Protein-Protein Interactions -- Identifying essential proteins by purifying protein interaction networks -- Differential functional analysis and change motifs in gene networks to explore the role of anti-sense transcription -- Predicting MicroRNA-disease associations by random walking on multiple networks -- Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees -- Protein and RNA structure -- Consistent visualization of multiple rigid domain decompositions of Proteins -- A Multiagent Ab Initio Protein Structure Prediction Tool for Novices and Experts -- Filling a protein scaffold with a reference -- Phylogenetics -- Mean values of gene duplication and loss cost functions -- The SCJ small parsimony problem for weighted gene adjacencies -- Path-Difference Median Trees -- NEMo: An Evolutionary Model with Modularity for PPI Networks -- Multi-Genome Scaffold Co-Assembly Based on the Analysis of Gene Orders and Genomic Repeats -- Sequence and image analysis -- Selectoscope: a modern web-app for positive selection analysis of genomic data -- Methods for Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus -- Haplotype Inference for Pedigrees with Few Recombinations -- Improved detection of 2D gel electrophoresis spots by using Gaussian mixture model -- Abridged Track 2 abstracts -- Predicting Combinative Drug Pairs via Integrating Heterogeneous Features for both Known and New Drugs -- SkipCPP-Pred: Promising Prediction Method for Cell-Penetrating Peptides Using Adaptive k-skip-n-gram Features on a High-quality Dataset -- CPredictor2.0: Effectively Detecting Both Small and Large Complexes from Protein-Protein Interaction Networks -- Structural Insights into Antiapoptotic Activation of Bcl-2 and Bcl-xL -- Mediated by FKBP38 and tBid -- VAliBS: a visual aligner for bisulfite sequences -- MegaGTA: a sensitive and accurate metagenomic Gene-Targeted Assembler using iterative de Bruijn graphs -- EnhancerDBN: An Enhancer Prediction Method Based on Deep Belief Network -- An improved burden-test pipeline for cancer sequencing data -- Modeling and Simulation of Specific Production of Trans10, cis12-Conjugated Linoleic Acid in the Biosynthetic Pathway -- Dynamic protein complex identification in uncertain protein-protein interaction networks -- Predicting lncRNA-Protein Interactions Based on Protein-Protein Similarity Network Fusion -- DCJ-RNA: Double Cut and Join for RNA Secondary Structures Using a Component-Based Representation -- Improve Short Read Homology Search using Paired-End Read Information -- Framework for integration of genome and exome data for more accurate identification of somatic variants -- Semantic Biclustering: a New Way to Analyze and Interpret Gene Expression Data -- Epistasis Analysis of microRNAs in Colon Cancer Using Empirical Bayesian Elastic Nets -- Tractable Kinetics of RNA-Ligand Interaction -- MitoDel: A Method to Detect and Quantify Mitochondrial DNA Deletions from Next-Generation Sequence Data -- TRANScendence: transposable elements database and de-novo mining tool allows inferring TEs activity chronology -- Phylogeny Reconstruction from Whole-Genome Data using Variable Length Binary Encoding. |
| Record Nr. | UNISA-996465972803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics Research and Applications : 12th International Symposium, ISBRA 2016, Minsk, Belarus, June 5-8, 2016, Proceedings / / edited by Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky
| Bioinformatics Research and Applications : 12th International Symposium, ISBRA 2016, Minsk, Belarus, June 5-8, 2016, Proceedings / / edited by Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XV, 348 p. 82 illus.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Data mining Pattern recognition Biomathematics Artificial intelligence Computational Biology/Bioinformatics Data Mining and Knowledge Discovery Pattern Recognition Mathematical and Computational Biology Artificial Intelligence |
| ISBN | 3-319-38782-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Next generation sequencing data analysis -- An Efficient Algorithm for finding all pairs k-mismatch maximal common substrings -- Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads -- FSG: Fast String Grap Construction for De Novo Assembly of reads data 25 -- OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads -- High performance sensing of DNA hybridization on surface of self-organized MWCNT-arrays decorated by organometallic complexes -- Towards a more accurate error model for BioNano optical maps -- HapIso : An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads -- Protein-protein interactions and networks -- Genome-Wide Structural Modeling of Protein-Protein Interactions -- Identifying essential proteins by purifying protein interaction networks -- Differential functional analysis and change motifs in gene networks to explore the role of anti-sense transcription -- Predicting MicroRNA-disease associations by random walking on multiple networks -- Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees -- Protein and RNA structure -- Consistent visualization of multiple rigid domain decompositions of Proteins -- A Multiagent Ab Initio Protein Structure Prediction Tool for Novices and Experts -- Filling a protein scaffold with a reference -- Phylogenetics -- Mean values of gene duplication and loss cost functions -- The SCJ small parsimony problem for weighted gene adjacencies -- Path-Difference Median Trees -- NEMo: An Evolutionary Model with Modularity for PPI Networks -- Multi-Genome Scaffold Co-Assembly Based on the Analysis of Gene Orders and Genomic Repeats -- Sequence and image analysis -- Selectoscope: a modern web-app for positive selection analysis of genomic data -- Methods for Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus -- Haplotype Inference for Pedigrees with Few Recombinations -- Improved detection of 2D gel electrophoresis spots by using Gaussian mixture model -- Abridged Track 2 abstracts -- Predicting Combinative Drug Pairs via Integrating Heterogeneous Features for both Known and New Drugs -- SkipCPP-Pred: Promising Prediction Method for Cell-Penetrating Peptides Using Adaptive k-skip-n-gram Features on a High-quality Dataset -- CPredictor2.0: Effectively Detecting Both Small and Large Complexes from Protein-Protein Interaction Networks -- Structural Insights into Antiapoptotic Activation of Bcl-2 and Bcl-xL -- Mediated by FKBP38 and tBid -- VAliBS: a visual aligner for bisulfite sequences -- MegaGTA: a sensitive and accurate metagenomic Gene-Targeted Assembler using iterative de Bruijn graphs -- EnhancerDBN: An Enhancer Prediction Method Based on Deep Belief Network -- An improved burden-test pipeline for cancer sequencing data -- Modeling and Simulation of Specific Production of Trans10, cis12-Conjugated Linoleic Acid in the Biosynthetic Pathway -- Dynamic protein complex identification in uncertain protein-protein interaction networks -- Predicting lncRNA-Protein Interactions Based on Protein-Protein Similarity Network Fusion -- DCJ-RNA: Double Cut and Join for RNA Secondary Structures Using a Component-Based Representation -- Improve Short Read Homology Search using Paired-End Read Information -- Framework for integration of genome and exome data for more accurate identification of somatic variants -- Semantic Biclustering: a New Way to Analyze and Interpret Gene Expression Data -- Epistasis Analysis of microRNAs in Colon Cancer Using Empirical Bayesian Elastic Nets -- Tractable Kinetics of RNA-Ligand Interaction -- MitoDel: A Method to Detect and Quantify Mitochondrial DNA Deletions from Next-Generation Sequence Data -- TRANScendence: transposable elements database and de-novo mining tool allows inferring TEs activity chronology -- Phylogeny Reconstruction from Whole-Genome Data using Variable Length Binary Encoding. |
| Record Nr. | UNINA-9910483205303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Advances in Bio and Medical Sciences [[electronic resource] ] : 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers / / edited by Ion Măndoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky
| Computational Advances in Bio and Medical Sciences [[electronic resource] ] : 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers / / edited by Ion Măndoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Application software
Computer communication systems Machine learning Software engineering Optical data processing Computer Applications Computer Communication Networks Machine Learning Software Engineering/Programming and Operating Systems Image Processing and Computer Vision |
| ISBN | 3-030-46165-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins -- The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $Nˆ6$-methyladenine sites -- Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment -- Deep learning of CTCF-mediated chromatin loops in 3D genome organization -- Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome -- A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction -- RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments -- Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data -- Parametric Prediction Model for Annual Growth of Electron Microscopy Data -- locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies -- A new graph database system for multi-omics data integration and mining complex biological information -- SMART2: Multi-Library Statistical Mitogenome Assembly with Repeats. |
| Record Nr. | UNISA-996418287603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Advances in Bio and Medical Sciences : 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers / / edited by Ion Măndoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky
| Computational Advances in Bio and Medical Sciences : 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers / / edited by Ion Măndoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina |
572.80285
570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Application software
Computer communication systems Machine learning Software engineering Optical data processing Computer Applications Computer Communication Networks Machine Learning Software Engineering/Programming and Operating Systems Image Processing and Computer Vision |
| ISBN | 3-030-46165-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins -- The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $Nˆ6$-methyladenine sites -- Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment -- Deep learning of CTCF-mediated chromatin loops in 3D genome organization -- Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome -- A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction -- RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments -- Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data -- Parametric Prediction Model for Annual Growth of Electron Microscopy Data -- locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies -- A new graph database system for multi-omics data integration and mining complex biological information -- SMART2: Multi-Library Statistical Mitogenome Assembly with Repeats. |
| Record Nr. | UNINA-9910409671503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||