Package ‘ limma ’
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چکیده
Version 3.30.13 Date 2017-03-14 Title Linear Models for Microarray Data Description Data analysis, linear models and differential expression for microarray data. Author Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Yunshun Chen [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]
منابع مشابه
limma powers differential expression analyses for RNA-sequencing and microarray studies
limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of m...
متن کاملOverview of the Glimma package
Glimma is a Bioconductor package for interactive visualization of the results from a differential expression analysis of RNA-sequencing data. This functionality is intended to enhance reporting capabilities so that results can be explored more easily by end-users. Glimma (which loosely stands for Interactive Graphics from the limma package) extends some of the popular plotting capabilities in l...
متن کاملLimma: Linear Models for Microarray Data
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 statistic...
متن کاملRNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
The ability to easily and efficiently analyse RNA-sequencing data is a key strength of the Bioconductor project. Starting with counts summarised at the gene-level, a typical analysis involves pre-processing, exploratory data analysis, differential expression testing and pathway analysis with the results obtained informing future experiments and validation studies. In this workflow article, we a...
متن کاملPackage ‘ limma ’
August 2, 2013 Version 3.17.20 Date 2013/07/29 Title Linear Models for Microarray Data Author Gordon Smyth with contributions from Matthew Ritchie, Jeremy Silver, James Wettenhall, Natalie Thorne, Mette Langaas, Egil Ferkingstad, Marcus Davy, Francois Pepin, Dongseok Choi, Davis McCarthy, Di Wu, Alicia Oshlack, Carolyn de Graaf, Yifang Hu, Wei Shi and Belinda Phipson. Maintainer Gordon Smyth <s...
متن کاملPackage ‘ GeneSelectMMD ’ April 25 , 2017
April 25, 2017 Type Package Title Gene selection based on the marginal distributions of gene profiles that characterized by a mixture of three-component multivariate distributions Version 2.20.0 Date 2012-11-14 Author Jarrett Morrow , Weiliang Qiu , Wenqing He , Xiaogang Wang , Ross Lazarus <ros...
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تاریخ انتشار 2017