Differential Gene Expression In Ipsc-Derived Macrophages After Ifng Stimulation And Salmonella Infection
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We used likelihood ratio test implemented in DESeq2 v1.10.0 (test = “LRT”) to test if a model that allowed different mean expression in each condition explained the data better than a null model assuming the same mean expression across conditions. See the manuscript for more details: http://www.biorxiv.org/content/early/2017/05/18/102392 .
We used the following commands in DESeq2:<br>
#Run DESeq2<br>
dds = DESeq2::DESeqDataSetFromMatrix(combined_expression_data_filtered$counts, design, ~condition_name) <br>
dds = DESeq2::DESeq(dds, test = "LRT", reduced = ~ 1)
#Extract differentially expressed genes in each condition<br>
ifng_genes = results(dds, contrast=c("condition_name","IFNg","naive")) <br>
sl1344_genes = results(dds, contrast=c("condition_name","SL1344","naive")) <br>
ifng_sl1344_genes = results(dds, contrast=c("condition_name","IFNg_SL1344","naive"))
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Zenodo
创建时间:
2017-08-04



