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796
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flowCore - linear transformation
cytofWorkflow cytofworkflow flowCore
4.0 years ago GFM ▴ 20
0
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0
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719
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diffcyt between cell populations
cytofWorkflow diffcyt
4.0 years ago GFM ▴ 20
0
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2
replies
1.8k
views
DiffBind with highly variable FRiP (Fraction Reads in Peaks)
DiffBind
updated 4.1 years ago by ★ 5.2k • written 5.8 years ago by ▴ 20
0
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0
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2.0k
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Comment: C: DiffBind or csaw between different transcription factors
4.4 years ago GFM ▴ 20
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0
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2.0k
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Comment: C: DiffBind or csaw between different transcription factors
4.4 years ago GFM ▴ 20
0
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4
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2.0k
views
DiffBind or csaw between different transcription factors
DiffBind csaw
updated 4.4 years ago by ★ 28k • written 4.4 years ago by ▴ 20
0
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0
replies
1.4k
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Comment: C: normalizecoverage in methylkit outputs NAs
6.1 years ago GFM ▴ 20
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2
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1.4k
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normalizecoverage in methylkit outputs NAs
methylkit normalizecoverage NA
updated 6.1 years ago by ▴ 20 • written 6.1 years ago by ▴ 20
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0
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2.8k
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Comment: C: clusterProfiler compareCluster enrichDAVID
7.0 years ago GFM ▴ 20
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0
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2.8k
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Comment: C: clusterProfiler compareCluster enrichDAVID
7.0 years ago GFM ▴ 20
1
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4
replies
2.8k
views
clusterProfiler compareCluster enrichDAVID
clusterProfiler
updated 7.0 years ago by ★ 4.1k • written 7.0 years ago by ▴ 20
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0
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2.4k
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Comment: C: DESeq2 for translation efficiency when there are normalization issues
8.1 years ago GFM ▴ 20
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2
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2.4k
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Comment: C: DESeq2 for translation efficiency when there are normalization issues
8.1 years ago GFM ▴ 20
1
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9
replies
2.4k
views
DESeq2 for translation efficiency when there are normalization issues
deseq2 translation efficiency spikes ribosome profiling
8.1 years ago GFM ▴ 20
0
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1
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2.4k
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Comment: A: DESeq2 for translation efficiency when there are normalization issues
8.1 years ago GFM ▴ 20
0
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3
replies
1.9k
views
SVA package for RRBS - bisulfite methylation data
rrbs batch effect methylation sva
updated 8.1 years ago by • 0 • written 9.3 years ago by ▴ 20
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0
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3.0k
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Answer: A: Diffbind EdgeR and DESeq2 normalization
8.4 years ago GFM ▴ 20
1
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6
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3.0k
views
Diffbind EdgeR and DESeq2 normalization
diffbind normalized counts
8.4 years ago GFM ▴ 20
0
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0
replies
3.0k
views
Answer: A: Diffbind EdgeR and DESeq2 normalization
8.4 years ago GFM ▴ 20
0
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1
reply
3.0k
views
Answer: A: Diffbind EdgeR and DESeq2 normalization
8.4 years ago GFM ▴ 20
0
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6
replies
1.8k
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MEDIPS - input
MEDIPS input
8.5 years ago • updated 8.4 years ago GFM ▴ 20
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0
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1.8k
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Answer: A: MEDIPS - input
8.4 years ago GFM ▴ 20
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1
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1.8k
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Answer: A: MEDIPS - input
8.4 years ago GFM ▴ 20
0
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1
reply
1.8k
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Answer: A: MEDIPS - input
8.4 years ago GFM ▴ 20
0
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0
replies
1.2k
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MaSigPro - pre-filtering of genes
MaSigPro
8.8 years ago GFM ▴ 20
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0
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2.8k
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Error in DiffBind input
diffbind
8.8 years ago GFM ▴ 20
1
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8
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2.0k
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A very large number of diffential genes
deseq2 normalization
9.1 years ago GFM ▴ 20
0
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0
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2.0k
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Answer: A: A very large number of diffential genes
9.1 years ago GFM ▴ 20
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1
reply
2.0k
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Answer: A: A very large number of diffential genes
9.1 years ago GFM ▴ 20
0
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1
reply
2.0k
views
Answer: A: A very large number of diffential genes
9.1 years ago GFM ▴ 20
1
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0
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2.0k
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Answer: A: A very large number of diffential genes
9.1 years ago GFM ▴ 20
0
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0
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3.7k
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Answer: A: DESeq2: Abnormally skewed distribution of p-values
9.3 years ago GFM ▴ 20
4
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4
replies
3.7k
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DESeq2: Abnormally skewed distribution of p-values
deseq2 p-value distribution differential expression
9.3 years ago GFM ▴ 20
0
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1
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3.7k
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Answer: A: DESeq2: Abnormally skewed distribution of p-values
9.3 years ago GFM ▴ 20
0
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0
replies
1.9k
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Comment: C: SVA package for RRBS - bisulfite methylation data
9.3 years ago GFM ▴ 20
1
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1
reply
4.5k
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DESeq2 - 2 factor design
deseq2
updated 9.4 years ago by 43k • written 9.4 years ago by ▴ 20
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0
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3.8k
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Answer: A: SVA package - for removing batch effect after DESeq - error in ComBat
9.4 years ago GFM ▴ 20
1
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4
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3.8k
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SVA package - for removing batch effect after DESeq - error in ComBat
sva combat
9.4 years ago GFM ▴ 20
0
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0
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3.8k
views
Answer: A: SVA package - for removing batch effect after DESeq - error in ComBat
9.4 years ago GFM ▴ 20
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