Showing : meta analysis • reset
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metaDE R and RRA R
microarray meta analysis
6.0 years ago lily ▴ 20
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Meta_analysis of microarray data
microarray microarray data Meta Analysis platform
updated 6.9 years ago by 68k • written 6.9 years ago by • 0
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Meta_analysis of different platforms of microarray data
microarray meta analysis cancer Software R
updated 7.0 years ago by 68k • written 7.0 years ago by • 0
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how to convert DEGs indices to gene symbols or gene names which i get during meta analysis through MAMA package using pvalcombination function and me…
MAMA pvalcombination meta analysis metaMA DEGs' indices
7.7 years ago niteshkumar20sept • 0
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meta de r package
meta analysis
8.2 years ago lily ▴ 20
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Meta Analysis on CAMERA results
limma camera cohen d meta analysis
8.9 years ago Andy91 ▴ 60
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meta analysis of clc output(differential expression data )
rnaseq metaseq clc output pvalue meta analysis
updated 9.1 years ago by ▴ 10 • written 9.1 years ago by • 0
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combine different GSE on different GPL
annotation genesymbols meta analysis
9.8 years ago wahaha123 • 0
8 results • Page 1 of 1
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Answer: lfc shrinkage estimator in DESeq2 by plumsgorillas • 0
You are on the right track. In DESeq2, raw log2 fold changes are often noisy and can be misleading, especially for genes with low counts. A…
Answer: Array weights in dpcDE by Gordon Smyth 53k
The uncertainty of quantification is fully accounted for in the dpcDE() analysis, including in the computation of sample weights. However,…
Answer: lfc shrinkage estimator in DESeq2 by Michael Love 43k
Try the vignette which has a lot of information on these type of questions.
Comment: limpa analysis advice by Gordon Smyth 53k
The DPC slope is beta1. The estimated slopes for your data look pretty low, lower than I've ever used for a real dataset. Nevertheless, as …
Comment: limpa analysis advice by SamGG ▴ 360
Thanks for your feedback and for reassuring me. :-) As you suggested, I tried dpcCN() and set the slope to 0.7 in addition to the standard…
Votes
A: DESeq2: Is it possible to convert read counts to expression values via TPM and r
A: Filtering read counts matrix: how to deal with duplicated gene symbols, differen
Comment: limpa analysis advice
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
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