Limma: Linear models for microarray data
Limma: Linear models for microarray data
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DOI：
10.1007/0-387-29362-0_23
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发表时间：
2005-01-01
期刊：
影响因子：
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通讯作者：
Smyth, GK
中科院分区：
文献类型：
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作者：
Smyth, GK
对利用LIMMA软件包的线性建模功能进行差分表达式分析的情况进行了综述。本章从最简单的重复设计开始，通过两组或更多组的实验、直接设计、析因设计和时间进程实验进行进展。考虑了技术复制和生物复制的实验。解释了经验贝叶斯检验统计量。β7数据说明了质量权重、自适应背景校正和控制点与线性建模相结合的使用。
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.