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Titlebook: Handbook of Statistical Bioinformatics; Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zha Book 2022Latest edition The Editor(s) (if appli

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书目名称Handbook of Statistical Bioinformatics
编辑Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zha
视频video
概述Presents modern methods and tools at the interface between computational statistics and computational biology.Covers key topics in statistical modeling and the analysis of massive data sets from moder
丛书名称Springer Handbooks of Computational Statistics
图书封面Titlebook: Handbook of Statistical Bioinformatics;  Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zha Book 2022Latest edition The Editor(s) (if appli
描述.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..
出版日期Book 2022Latest edition
关键词Computational Statistics; Computational Biology; Statistical Bioinformatics; Biostatistics; Statistical
版次2
doihttps://doi.org/10.1007/978-3-662-65902-1
isbn_ebook978-3-662-65902-1Series ISSN 2197-9790 Series E-ISSN 2197-9804
issn_series 2197-9790
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
The information of publication is updating

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Causal Inference in Biostatisticsress the problems of measured and unmeasured cofounding. Further, we briefly review the current research topics in causal inference. Finally, we conclude the chapter with a list of software for estimating causal effect.
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Identifying Genetic Loci Associated with Complex Trait Variabilityoduce state-of-the-art methods for vQTL mapping, discuss the strength and weakness of each method, and review various applications of vQTL with a particular focus on GxE studies. We conclude this chapter with some discussion on future directions and remaining challenges in vQTL research.
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