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Any recommended workflow for incrementally selecting top ranked genes by using mRMR feature selection?
microarray
gene-filtering
mRMR
parallel-processing
bioconductor-package
5.4 years ago
Jurat Shahidin
▴ 80
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Comment: Differential Expression Genes as Independent Variables
by
James W. MacDonald
67k
An alternative to that is to use the `glmnet` package to fit a regularized regression using all proteins at once.
Comment: Differential Expression Genes as Independent Variables
by
abadgerw
• 0
Thanks. The proposal was not to include all proteins as covariates in one model but to iterate with one protein serving as the independent …
Answer: How to annotate a limma Elist raw class object with an annotation file
by
James W. MacDonald
67k
Your first step when trying to use a function is to read the help page (`?mapIds`), which will bring this up: ``` Usage: colu…
Comment: scuttle::perFeatureQCMetrics runs very slow for big scRNA-seq data
by
Adam
▴ 10
Hi Aaron, You are right. I checked the structure and it is "TENxMatrix" (HDF5-based sparse matrix ). I tried to convert it to SparseArray,…
Comment: pathview - multiple states
by
Philippine
• 0
:D Thank you!!! It works perfectly.
Votes
A: deseq2 filter the low counts
A: deseq2 filter the low counts
scuttle::perFeatureQCMetrics runs very slow for big scRNA-seq data
Comment: pathview - multiple states
Answer: Crossover design with limma
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