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Titlebook: Mathematica for Bioinformatics; A Wolfram Language A George Mias Book 2018 Springer International Publishing AG, part of Springer Nature 20

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发表于 2025-3-21 17:12:01 | 显示全部楼层 |阅读模式
书目名称Mathematica for Bioinformatics
副标题A Wolfram Language A
编辑George Mias
视频video
概述Illustrates research applications with detailed, worked out examples.Provides complete code companion executable in Mathematica notebooks.Contains complete instructions for users write their own appli
图书封面Titlebook: Mathematica for Bioinformatics; A Wolfram Language A George Mias Book 2018 Springer International Publishing AG, part of Springer Nature 20
描述.This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, differential gene expression, and machine learning implementations to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to includethe Wolfram Language..
出版日期Book 2018
关键词Mathematica; OMICs Technologies; Computational Biology; Data Mining; Bioinformatics; Metabolomics; microar
版次1
doihttps://doi.org/10.1007/978-3-319-72377-8
isbn_softcover978-3-030-10192-3
isbn_ebook978-3-319-72377-8
copyrightSpringer International Publishing AG, part of Springer Nature 2018
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发表于 2025-3-21 22:20:48 | 显示全部楼层
George Miasen liefert. Unsere Bemühungen müssen sich daher darauf richten, aus den Ziffern, die uns zur Verfügung stehen, festzustellen, ob in der Fülle von Preisschwankungen irgendeine besondere Tendenz in einer bestimmten Richtung vorhanden ist, die uns etwas über die tieferen wirksam gewesenen Ursachen zu s
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George MiasLogitanalysen bezeichnet — oder der GSK-Ansatz Bedeutung erlangt haben (GRIZZLE, STARMER & KOCH 1969; KÜCHLER 1979; LANGEHEINE 1980). Gemeinsam mit den oben genannten Verfahren sind sie Spezifikationen des verallgemeinerten linearen Modells (generalized linear model — GLM; vgl. ANDRESS 1986).
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Book 2018 looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to includethe Wolfram Language..
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Transcriptomics Examples,e will analyze some well known gene expression datasets to show how the Wolfram Language can be used in general working examples of such analysis. We will see how differential gene expression can be assessed, including using an analysis of variance approach that is extensible to other big datasets.
发表于 2025-3-23 02:38:03 | 显示全部楼层
Metabolomics Example,rom small molecules intensity data using the Wolfram Language. The approach will involve normalizing the data, carrying out differential expression analysis and obtaining putative identities for mass features of interest.
发表于 2025-3-23 05:54:43 | 显示全部楼层
Epilog: Bioinformatics Development with Mathematica,s. As your functions mature in complexity you may want to share your work with the community and help others that are analyzing similar work. You may decide that you want to write your own package and we will briefly introduce packages in this chapter.
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