Bioconductor Rnaseq

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245

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limma edgeR RNASeq

updated 1 hour ago by Gordon Smyth 50k • written 21 days ago by Shaimaa Gamal • 0

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1.8k

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sgseq rnaseq

updated 3 days ago by Sara • 0 • written 6.7 years ago by Sylvain Foisy ▴ 80

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168

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DESeq2 StatisticalMethod Proteomics DifferentialExpression RNASeq

updated 7 days ago by ATpoint ★ 4.1k • written 8 days ago by james.zhang20 • 0

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174

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limma RNASeq voom

written 17 days ago by taur.vil • 0

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156

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DESeq2 RNAseq

updated 15 days ago by Michael Love 42k • written 15 days ago by kcarey • 0

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872

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clusterProfiler RNASeq

updated 15 days ago by Guangchuang Yu ★ 1.2k • written 14 months ago by ruiqi.li ▴ 10

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221

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technicalReplicates BatchEffect limma RNASeq

20 days ago • updated 17 days ago catv • 0

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115

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DESeq2 LongRead DEXSeq IsoformSwitchAnalyzeR RNASeq

updated 21 days ago by Michael Love 42k • written 21 days ago by 09191919 • 0

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929

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SingleCell RNASeq RNASeqData scRNAseq

updated 22 days ago by wichaidi • 0 • written 17 months ago by irvin.ng • 0

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144

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scRNAseq RNAseq

updated 29 days ago by ATpoint ★ 4.1k • written 4 weeks ago by Merav • 0

10 results • Page 1 of 1

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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…

Comment: Log-cpm values from limma by Gordon Smyth 50k

No, it does not mean that. `voom()` uses the design matrix with the W covariates, to compute precision weights but not to adjust the log-cp…

Votes

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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