Showing : meta-analysis • reset
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Meta-analysis on RNA-seq data sets
meta-analysis sva Combat_Seq RNAseq
5 months ago Travis • 0
0
votes
1
reply
1.3k
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What does one-sided p-value in DESeq2 mean in biological terms?
one-sided nbinomWaldTest p-value meta-analysis DESeq2
updated 3.5 years ago by 43k • written 3.5 years ago by • 0
0
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11
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4.5k
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Remove NaN from a list or replace NaN with a value.
R meta-analysis
updated 3.5 years ago by • 0 • written 6.3 years ago by ▴ 10
0
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7
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1.8k
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Problem using load_raw() function in crossmeta R package
cross meta-analysis crossmeta
4.0 years ago michael.s • 0
3
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1
reply
663
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Meta-Analysis: Start with counts?
meta-analysis
updated 5.8 years ago by ★ 28k • written 5.8 years ago by • 0
1
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2
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1.1k
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Meta-analysis of RNAseq data
RNAseq meta-analysis microarray public data sets
updated 6.1 years ago by ▴ 110 • written 6.1 years ago by ▴ 90
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3
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2.1k
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Algorithm for between and within microarray normalisation (for meta-analysis).
microarray meta-analysis gene expression
updated 6.1 years ago by 0 • written 8.6 years ago by ▴ 70
2
votes
1
reply
844
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how do meta-analysis with Na p-value of DESeq2 ?
deseq2 meta-analysis metaseq
updated 7.7 years ago by 43k • written 7.7 years ago by • 0
0
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0
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982
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Meta-Analysis chip-seq data
chip-seq meta-analysis
7.7 years ago rezapanahi222 • 0
0
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0
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948
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tools or package for meta-analysis of chip-seq result
chipseq meta-analysis
7.8 years ago rezapanahi222 • 0
2
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4
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1.9k
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R package for Meta-Analysis of CHIP-Seq data
chipseq meta-analysis ubuntu
7.8 years ago rezapanahi222 • 0
6
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4
replies
3.6k
views
Meta-analysis of microarrays (and RNA-seq) data
meta-analysis
updated 7.8 years ago by ▴ 110 • written 7.9 years ago by ▴ 40
3
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6
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1.6k
views
Possible approach of compare/interpret RNA-Seq results with microarray gene expression describing the same phenotype
microarray rnaseq DEgenes meta-analysis limma
updated 8.1 years ago by ★ 28k • written 8.1 years ago by ▴ 840
0
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1
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1.3k
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meta analysis of p value data by metaseq package
rnaseq meta-analysis p values
8.1 years ago hassangiahi • 0
0
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1
reply
1.1k
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Meta-analysis on rna-seq data without replicates
meta-analysis rnaseq metarnaseq
updated 8.4 years ago by 43k • written 8.4 years ago by ▴ 20
2
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5
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3.0k
views
Question on how to proceed and analyze 9 microarray datasets of two different platforms to perform meta-analysis
microarray meta-analysis cross-platform normalization statistical inference
updated 8.7 years ago by ▴ 110 • written 9.1 years ago by ▴ 80
3
votes
6
replies
2.5k
views
Comparison of DE lists from different datasets of same microarray platform
microarray DE-comparison meta-analysis scatter-plot limma
9.0 years ago Konstantinos Yeles ▴ 80
0
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0
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1.9k
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MetaDE.pvalue: Error in xj[i]: invalid subscript type 'list'
MetaDE meta-analysis
9.0 years ago alexvpickering ▴ 110
4
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4
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1.6k
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Comparing DE probes from same-platform microarrays
limma microarray meta-analysis
updated 9.1 years ago by 52k • written 9.1 years ago by ▴ 10
4
votes
1
reply
2.5k
views
Meta-analysis of gene expression data by 'MetaDE'
r meta-analysis MetaDE
updated 9.2 years ago by ▴ 150 • written 9.6 years ago by ▴ 260
2
votes
4
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3.1k
views
Meta-Analysis after running limma on a normalized dataset
meta-analysis limma toptable
updated 9.6 years ago by ★ 28k • written 9.6 years ago by ▴ 20
21 results • Page 1 of 1
Recent ...
Replies
Comment: how many significant figures are there in DESeq2 output by ATpoint ★ 4.7k
If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…
Comment: Compare TCGA-PAAD with GTEx gene expression by Jane • 0
why aren't there any answers?
Comment: Too many significant genes when integrating gtex and tcga by Jane • 0
I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…
Comment: how many significant figures are there in DESeq2 output by Matthew McCormack ▴ 180
Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…
Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to by ATpoint ★ 4.7k
No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…
Votes
A: Unbalanced experiment with multiple samples from each patient.
Unbalanced experiment with multiple samples from each patient.
Answer: Vertical line at A=0, nothing else, on MA plot
Answer: GSVA Error Code "Calling gsva(expr=., gset.idx.list=., method=., ...) is defunct
Answer: Group-specific condition effects with individuals nested: matrix is not full ra
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