Showing : recount3 • reset
2
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5
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Downloading count matrix for full recount3 dataset
recount3
updated 7 weeks ago by ★ 1.0k • written 2.8 years ago by • 0
1
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1
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224
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Transcript level expression for CCLE
recount3 recount CCLE
updated 3 months ago by ★ 1.0k • written 3 months ago by ▴ 510
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2
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537
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recount3 monorail pipeline version
recount3
7 months ago • updated 4 months ago Lorenzo • 0
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2
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501
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Recount3: PCR duplicates
pcrduplicates recount3 multimappingreads
updated 11 months ago by • 0 • written 11 months ago by • 0
0
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2
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550
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TCGA counts to TPM from recount3 do not seem to right
recount3 TCGA RNASeq
updated 6 months ago by ★ 1.0k • written 6 months ago by ▴ 190
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0
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183
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Recount3 error downloading data
recount3 recount
3 months ago Max Bone • 0
0
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1
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569
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Recount3 data correspond to TCGA data
recount3
updated 11 months ago by • 0 • written 13 months ago by • 0
7 results • Page 1 of 1
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Answer: Differential gene expression analysis results by ATpoint ★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
Comment: deseq2 results by sajadahmad41454 • 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results by swbarnes2 ★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Gordon Smyth 50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
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Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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