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基因家族分析套路四
基因家族分析套路（四）
广告：大家有基因组家族分析的需求，麻烦留言哦，小编会第一时间回复的。
tiple ≈ GSE. Thedifference concentrated on the data labeled GDS can be analyzed for one geneonline. It is simple and data in the sameGPL can be used to compare inexperiment.
下面是在线分析转录组数据的用法：
rrayexpress/) 该数据库下载数据用法如下：
“.cel”格式。以AffyMicroarray数据处理为例讲述主要的命令如下：> l (~-1 factor(c(1,1,2,2,3,3))) # Createsappropriate design matrix. >colnames(design) <-c('group1', 'group2', 'group3') # Assigns column names.>fit <- lmFit(eset, design) # Fits a linear model for each gene based onthe given series of arrays.> <- makeContrasts(group2-group1,group3-group2, group3-group1, levels=design) # Creates appropriate contrast matrix toperform all pairwise comparisons.>fit2 <- (fit, )# Computes estimatedcoefficients and standard errors for a given set of contrasts.>fit2 <- eBayes(fit2) # Computes moderated t-statistics and log-oddsof differential expression by empirical Bayes >topTable(fit2, coef=1,adjust='fdr', ='B', number=10) # Generates list of top 10 ('number=10')differentially expressed genes sorted by B-values ('=B') for firstcomparison group.>(topTable(fit2, coef=1,adjust='fdr', ='B', number=500),file='limma_comp