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Title:
limma: Linear Models for Microarray Data | SpringerLink
Description:
A survey is given of differential expression analyses using the linear modeling features of the limma package. The chapter starts with the simplest replicated designs and progresses through experiments with two or more groups, direct designs, factorial designs and...
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chapter, data, biology, privacy, cookies, content, publish, linear, health, usa, springer, information, research, search, bioinformatics, computational, statistics, preview, access, download, personal, european, log, journal, solutions, bioconductor, limma, designs, experiments, public, school, ebook, usd, optional, media, parties, policy, find, track, models, microarray, cite, smyth, book, institution, pdf, article, open, division, ave,

Topics {✒️}

month download article/chapter privacy choices/manage cookies european economic area european bioinformatics institute device instant download differential expression analyses adaptive background correction handcrafted superpixel selection harvard medical school computational biology solutions conditions privacy policy linear modeling features linear belief functions simplest replicated designs computational biology division accepting optional cookies download preview pdf main content log public health sciences journal finder publish chapter cite check access ethics access chapter usd 29 microarray data social media permissions reprints chapter bioinformatics personal data privacy policy chapter starts chapter smyth chapter log books a data protection β7 data optional cookies manage preferences usa vincent usa rafael essential cookies cookies skip subscription content similar content springer information book series biostatistics school institution subscribe pdf read

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ScholarlyArticle:
      headline:limma: Linear Models for Microarray Data
      pageEnd:420
      pageStart:397
      image:https://media.springernature.com/w153/springer-static/cover/book/978-0-387-29362-2.jpg
      genre:
         Mathematics and Statistics
         Mathematics and Statistics (R0)
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         name:Springer New York
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      author:
            name:G. K. Smyth
            affiliation:
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      keywords:Design Matrix, Background Correction, Limma Package, Control Spot, Target Frame
      description:A survey is given of differential expression analyses using the linear modeling features of the limma package. The chapter starts with the simplest replicated designs and progresses through experiments with two or more groups, direct designs, factorial designs and time course experiments. Experiments with technical as well as biological replication are considered. Empirical Bayes test statistics are explained. The use of quality weights, adaptive background correction and control spots in conjunction with linear modelling is illustrated on the β7 data.
      datePublished:2005
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      name:Springer New York
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         type:ImageObject
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