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mlseq
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1.2k
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Data preparation and Machine learning on time course RNAseq data
machine learning
deep learning
RNAseq
MLSeq
5.3 years ago
A
▴ 40
0
votes
0
replies
940
views
MLSeq plot results
MLSeq
7.4 years ago
jonessara770
▴ 10
0
votes
0
replies
1.6k
views
Hierarchical Random Forest classifier
rnaseq
machinelearning
random forest
mlseq
8.2 years ago
anthony.hawkins
▴ 10
0
votes
2
replies
1.2k
views
MLSeq package: using z-score normalized data as input?
MLSeq
8.5 years ago
philipp24
▴ 30
0
votes
3
replies
1.5k
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MLSeq Mathematical Concepts
Classification
edgeR
DESeq
MLSeq
Classification
edgeR
DESeq
MLSeq
updated 10.0 years ago by
Wolfgang Huber
★ 13k • written 10.0 years ago by
Dario Strbenac
★ 1.5k
5 results • Page
1 of 1
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Answer: DESEQ2 IHW and Apelgm method for Shrinkage (adding s values to FDR)
by
Michael Love
41k
> I got many p values that had "1.000000e+00" and padj "1" and stat of "0" when I added the Log threshold of LFC >1 and LFC < -1...is this …
Comment: Trying to use enrichGO
by
fernanda.backsouza
▴ 10
With all my love, thank you Guido, GOxploreR beeing a big ally for me. I don't know how to be grateful right now.
Comment: DESeq2 output used for PCA plot on R studio
by
swbarnes2
★ 1.3k
You didn't generate it with an experiment, you made it up: Your PCA doesn't look like a good RNASeq experiment, because it's not.
Answer: Opposite sign of LFC in count plots of DEGs (DESeq2)
by
swbarnes2
★ 1.3k
Your contrast is comparing LGR5 to Homeostasis. The bottom 2 are fine, it's the top one that is wrong. Are you sure this step isn't misla…
Comment: get BM error
by
James W. MacDonald
65k
I believe you need NCBI Gene IDs for KEGG, in which case you may need to map. The three genes you have shown here don't map, and of those t…
Votes
C: when to apply quantile normalization with voom in limma/voom framework with RNA-
A: How to know if I should use voomWithQualityWeights() or not?
A: Weird results (ribosomal proteins / Y-linked genes) in limma/voom
Answer: Log-cpm values from limma
Answer: Log-cpm values from limma
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