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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui