Bioconductor Multiple factor levels

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deseq2 design model rnaseq multiple factor levels

updated 6.0 years ago by Michael Love 43k • written 6.0 years ago by tasnif.rahman • 0

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Comment: Create Illmina bead summary data by Liu • 0

Hi! Yes, thank you! I completely agree. I am just curious about how these two files are processed with AVG_Gre and detection p-value. I am …

Answer: Epic v2 Annotation CpG_maf source? by James W. MacDonald 67k

Those all come from dbSNP by way of UCSC. [See here][1], particularly lines 114 and onward. Here is no MAF for a CpG. The MAF is for the…

Comment: Deseq2 res Function by James W. MacDonald 67k

In addition to Mike's comment, do note that if you are generating a heatmap based on the set of significant genes, the direction of your co…

Answer: Struggle with the replicates of epic array data by James W. MacDonald 67k

You shouldn't be using beta values for a linear model that assumes a unimodal, untruncated distribution (beta values are strictly on (0-1) …

Comment: Identifying potentially associated gene set to drug response using GSVA by Robert Castelo ★ 3.4k

So, if I understand correctly, you derived GSVA scores from gene sets corresponding somehow to drugs in your RNA-seq data. Since GSVA score…

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Answer: Deseq2 res Function

Answer: ANOVA like approach of edgeR

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