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tcga cnv
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how to analyze TCGA CNV data
TCGA CNV
correlation between mRNA exprssion and CNV
updated 9.7 years ago by
spulido99
• 0 • written 10.6 years ago by
ycding
▴ 20
0
votes
4
replies
2.4k
views
Using cn.MOPs to estimate CNVs in tumors without reference normal
cn.mops
cnvtools
tcga cnv
updated 10.0 years ago by
Günter Klambauer
▴ 540 • written 10.0 years ago by
vakul.mohanty
▴ 20
27
votes
21
replies
26k
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Mapping genome regions to gene symbols
tcga cnv
gene symbol
coordinate
updated 3.0 years ago by
James W. MacDonald
68k • written 10.5 years ago by
NS
▴ 60
3 results • Page
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Answer: Using DESeq2 for age prediction
by
ATpoint
★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Votes
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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