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error on heatmap
PROMISE metagenomeSeq PROMISE metagenomeSeq
updated 10.7 years ago by ▴ 280 • written 10.7 years ago by ★ 13k
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subsetting SummarizedExperiments - a proposal (or a hack?)
Cancer IRanges GenomicRanges PROMISE Cancer IRanges GenomicRanges PROMISE
updated 10.8 years ago by ★ 13k • written 10.8 years ago by ★ 1.6k
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getting an error with ggbio
PROMISE PROMISE
11.9 years ago Abhishek Pratap ▴ 410
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Generating GEO submission files from beadarray summary data
beadarray lumi PROMISE beadarray lumi PROMISE
updated 12.1 years ago by ★ 1.1k • written 12.1 years ago by ★ 4.2k
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Error, while using produceGEOSampleInfoTemplate
beadarray lumi PROMISE beadarray lumi PROMISE
updated 12.1 years ago by ★ 4.2k • written 12.1 years ago by ▴ 350
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!SPAM: Christmas gifft idea!
PROMISE PROMISE
16.0 years ago Earnhardt Tako ▴ 10
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gcrma problem caused by using updated new CDF and probesequence?
Normalization hgu133a hgu95a cdf probe affy gcrma PROMISE Normalization hgu133a hgu95a
17.2 years ago Yan Zhang ▴ 130
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Looking for extra Income? Please Read.
PROMISE PROMISE
17.3 years ago hardware.inc505@gmail.com ▴ 10
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Biocore response to Affymetrix data format changes
Microarray GO Network Cancer cdf affy PROMISE Microarray GO Network Cancer cdf affy
21.4 years ago Kulp, David ▴ 20
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Comment: Differene between the Wald and LRT test for time-series gene expression data by Denise • 0
This makes a lot of sense, thank you very much!
Comment: Downloading Metagenomic Data with Higher Taxonomic Units by elozanoe • 0
Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…
Comment: Is it recommended to analyze different tissues together when using edgeR by Gordon Smyth 51k
Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…
Comment: Handling Epic Array Data by Melisa Tecik • 0
Thanks a lot for the help. You saved my day
Answer: Differene between the Wald and LRT test for time-series gene expression data by James W. MacDonald 67k
The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…
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A: correcting the batch effects in Limma and SVA
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
Answer: Differene between the Wald and LRT test for time-series gene expression data
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
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Popular Question to Talip Zengin ▴ 10
Popular Question to Fred Hutch (Recruiting) ▴ 40
Scholar to Gordon Smyth 51k
Popular Question to chase.mateusiak • 0
Scholar to James W. MacDonald 67k
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