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[null,"1.","Record Nr.",null,"UNINA9910861086203321"]
[null,null,"Autore",null,"Ma Jian"]
[null,null,"Titolo",null,"Research in Computational Molecular Biology : 28th Annual International Conference, RECOMB 2024, Cambridge, MA, USA, April 29–May 2, 2024, Proceedings / / edited by Jian Ma"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9781071639894"]
[{"$nulls":4},"1071639897"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (508 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14758"]
[null,null,"Disciplina",null,"4"]
[null,null,"Soggetti",null,"Computer science"]
[{"$nulls":4},"Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Enhancing gene set analysis in embedding spaces a novel best match approach.  -- Prompt based Learning on Large Protein Language Models Improves Signal Peptide Prediction.  -- Decoil Reconstructing extrachromosomal DNA structural heterogeneity from longread sequencing data.  -- Privacy Preserving Epigenetic PaceMaker Stronger Privacy and Improved Efficiency.  -- Mapping Cell Fate Transition in Space and Time.  -- Approximate IsoRank for Scalable Global Alignment of Biological Networks.  -- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors.  -- Efficient Analysis of Annotation Colocalization Accounting for Genomic Contexts.  -- Secure federated Boolean count queries using fully homomorphic cryptography.  -- FragXsiteDTI Revealing Responsible Segments in Drug Target Interaction with Transformer Driven Interpretation.  -- An integer programming framework for identifying stable components in asynchronous Boolean networks.  -- ImputeCC enhances integrative Hi C based metagenomic binning through constrained random walk based imputation.  -- Graph based genome inference from Hi C data.  -- Meta colored de Bruijn graphs.  -- Color Coding for the Fragment Based Docking Design and Equilibrium Statistics of Protein Binding ssRNAs.  -- Automated design of efficient search schemes for lossless approximate pattern matching.  -- CELL E A Text To Image Transformer for Protein Localization Prediction.  -- A Scalable Optimization Algorithm for Solving the Beltway and Turnpike "]
[{"$nulls":4},"Problems with Uncertain Measurements.  -- Overcoming Observation Bias for Cancer Progression Modeling.  -- Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning.  -- Computing robust optimal factories in metabolic reaction networks.  -- Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition.  -- Structure and Function Aware Substitution Matrices via Learnable Graph Matching.  -- Secure Discovery of Genetic Relatives across Large Scale and Distributed Genomic Datasets.  -- GFETM Genome Foundation based Embedded Topic Model for scATAC seq Modeling.  -- SEM sized based expectation maximization for characterizing nucleosome positions and subtypes.  -- Centrifuger lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification.  -- BONOBO Bayesian Optimized sample specific Networks Obtained By Omics data.  -- regLM Designing realistic regulatory DNA with autoregressive language models.  -- DexDesign A new OSPREY based algorithm for designing de novo D peptide inhibitors.  -- Memory bound and taxonomy aware kmer selection for ultra large reference libraries.  -- SpaCeNet Spatial Cellular Networks from omics data.  -- Discovering and overcoming the bias in neoantigen identification by unified machine learning models.  -- MaSk LMM A Matrix Sketching Framework for Linear Mixed Models in Association Studies.  -- Community structure and temporal dynamics of viral epistatic networks allow for early detection of emerging variants with altered phenotypes.  -- Maximum Likelihood Inference of Time scaled Cell Lineage Trees with Mixed type Missing Data.  -- TRIBAL Tree Inference of B cell Clonal Lineages.  -- Mapping the topography of spatial gene expression with interpretable deep learning.  -- GraSSRep Graph Based Self Supervised Learning for Repeat Detection in Metagenomic Assembly.  -- PRS Net Interpretable polygenic risk scores via geometric learning.  -- Haplotype aware sequence alignment to pangenome graphs.  -- Disease Risk Predictions with Differentiable Mendelian Randomization.  -- DIISCO A Bayesian framework for inferring dynamic intercellular interactions from time series single cell data.  -- Protein domain embeddings for fast and accurate similarity search.  -- Processing bias correction with DEBIAS M improves cross study generalization of microbiome based prediction models.  -- VICTree a Variational Inference method for Clonal Tree reconstruction.  -- DeST OT Alignment of Spatiotemporal Transcriptomics Data.  -- Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History.  -- Accurate Assembly of Circular RNAs with TERRACE.  -- Semi Supervised Learning While Controlling the FDR With an Application to Tandem Mass Spectrometry Analysis.  -- CoRAL accurately resolves extrachromosomal DNA genome structures with long read sequencing.  -- A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits.  -- Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation.  -- Inferring allele specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics.  -- Contrastive Fitness Learning Reprogramming Protein Language Models for Low N Learning of Protein Fitness Landscape.  -- Scalable summary statistics based heritability estimation method with individual genotype level accuracy.  -- scMulan a multitask generative pre trained language model for single cell analysis."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the 28th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2024, held in Cambridge, MA, USA, during April 29–May 2, 2024. The "]
[{"$nulls":4},"57 full papers included in this book were carefully reviewed and selected from 352 submissions. They were organized in topical sections as follows: theoretical and foundational algorithm contributions and more applied directions that engage with new technologies and intriguing biological questions."]
[null,"2.","Record Nr.",null,"UNINA9910265657103321"]
[null,null,"Titolo",null,"Journal of humanitarian logistics and supply chain management"]
[null,null,"Pubbl/distr/stampa",null,"Bingley, UK, : Emerald Group Pub. Ltd"]
[null,null,"ISSN",null,"2042-6755"]
[null,null,"Disciplina",null,"361.26"]
[null,null,"Soggetti",null,"Humanitarian assistance - Management"]
[{"$nulls":4},"Emergency management"]
[{"$nulls":4},"Disaster relief"]
[{"$nulls":4},"Business logistics"]
[{"$nulls":4},"Aide humanitaire - Gestion"]
[{"$nulls":4},"Secours aux victimes de catastrophes"]
[{"$nulls":4},"Logistique (Organisation)"]
[{"$nulls":4},"Periodicals"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Refereed/Peer-reviewed"]