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＜電子ブック＞
Handbook of Statistical Bioinformatics / edited by Henry Horng-Shing Lu, Bernhard Schölkopf, Martin T. Wells, Hongyu Zhao
(Springer Handbooks of Computational Statistics. ISSN:21979804)

版	2nd ed. 2022.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2022
本文言語	英語
大きさ	VIII, 410 p. 80 illus., 67 illus. in color : online resource
著者標目	Lu, Henry Horng-Shing editor Schölkopf, Bernhard editor Wells, Martin T editor Zhao, Hongyu editor SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Bioinformatics LCSH:Quantitative research LCSH:Medicine -- Research  全ての件名で検索 LCSH:Biology -- Research  全ての件名で検索 FREE:Biostatistics FREE:Statistics and Computing FREE:Computational and Systems Biology FREE:Bioinformatics FREE:Data Analysis and Big Data FREE:Biomedical Research
一般注記	Preface -- Part I Single-cell Analysis -- Computational and statistical methods for single-cell RNA sequencing data -- Pre-processing, dimension reduction, and clustering for single-cell RNA-seq data -- Integrative analyses of single-cell multi-omics data: a review from a statistical perspective -- Approaches to marker gene identification from single-cell RNA-sequencing data -- Model-based clustering of single-cell omics data -- Deep learning methods for single cell omics data -- Part II Network Analysis -- Probabilistic Graphical Models for Gene Regulatory Networks -- Additive conditional independence for large and complex biological structures -- Integration of Boolean and Bayesian Networks -- Computational methods for identifying microRNA-gene regulatory modules -- Causal inference in biostatistics -- Bayesian Balance Mediation Analysis in Microbiome Studies -- Part III Systems Biology -- Identifying genetic loci associated with complex trait variability -- Cell Type Specific Analysis for Gene Expression and DNA Methylation -- Recent development of computational methods in the field of epitranscriptomics -- Estimation of Tumor Immune Signatures from Transcriptomics Data -- Cross-Linking Mass Spectrometry Data Analysis -- Cis-regulatory Element Frequency Modules and their Phase Transition across Hominidae -- Improving tip-dating and rooting a viral phylogeny by modeling evolutionary rate as a function of time Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology HTTP:URL=https://doi.org/10.1007/978-3-662-65902-1

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