Bioconductor Book machine learning

Showing : book machine learning • reset

0

votes

3

replies

1.3k

views

book machine learning

updated 10.0 years ago by Steve Lianoglou ★ 13k • written 10.0 years ago by Asma rabe ▴ 290

1 result • Page 1 of 1

Recent ...

Replies

Comment: Deseq2 Design by James W. MacDonald 67k

You could do that, but if we assume the within-group variability is similar across groups, you gain power by fitting a single model and ext…

Comment: Deseq2 Design by pm_25 • 0

Thanks James, I went ahead and fit the model for cell means as so: ```r dds <- DESeqDataSetFromTximport(txi, colData = sampleTable,~Condit…

Answer: Build error on kunpeng2 Linux aarch64 by James W. MacDonald 67k

This isn't the place for developer questions. Please use the developer listserv at bioc-devel@r-project.org instead. Also, you might wan…

Comment: biomaRt rnorvegicus_gene_ensembl not available anymore by James W. MacDonald 67k

You should use `useEnsembl` as the error recommends. ``` > library(biomaRt) > mart <- useEnsembl("ensembl", "rnorvegicus_gene_ensembl") > …

Comment: Deseq2 Design by James W. MacDonald 67k

The other thing I forgot to mention is that you need to specify a cell means model to `DESeq`. Here's an example. ``` > library(DESeq2) > …

Votes

Answer: Deseq2 Design

Fold change calculation in Diffbind vs. DESEQ2?

Awards • All

Scholar to James W. MacDonald 67k