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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
8.0 years ago Yanzhu Lin ▴ 120
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
4
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12
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3.2k
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modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
limma
8.0 years ago Yanzhu Lin ▴ 120
0
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0
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3.2k
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
0
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1
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3.2k
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
1
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2
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4.0k
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mixed model using limma-voom
limma cancer
8.0 years ago Yanzhu Lin ▴ 120
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0
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4.0k
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Comment: A: mixed model using limma-voom
8.0 years ago Yanzhu Lin ▴ 120
1
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1
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1.2k
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limma voom: multi-factor design with random effects
limma
updated 8.0 years ago by 51k • written 8.0 years ago by ▴ 120
6
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4
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5.0k
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Does DESeq2 or edgeR take care of random effect in the GLM
deseq2 edger
updated 8.3 years ago by 51k • written 8.3 years ago by ▴ 120
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1
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836
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Is there any R package taking care of random effect for RNA-Seq read counts gene expression data
rna-seq
updated 8.3 years ago by 51k • written 8.3 years ago by ▴ 120
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5.0k
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Comment: A: Does DESeq2 or edgeR take care of random effect in the GLM
8.3 years ago Yanzhu Lin ▴ 120
0
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0
replies
1.7k
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Comment: C: power calculation of RNA-Seq
10.1 years ago Yanzhu Lin ▴ 120
0
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1
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1.7k
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Comment: C: power calculation of RNA-Seq
10.1 years ago Yanzhu Lin ▴ 120
0
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0
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1.7k
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Comment: C: power calculation of RNA-Seq
10.1 years ago Yanzhu Lin ▴ 120
0
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6
replies
1.7k
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power calculation of RNA-Seq
updated 10.1 years ago by ▴ 260 • written 10.1 years ago by ▴ 120
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1
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2.2k
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Comment: C: DESeq: Hypothesis testing in multifactor design
10.1 years ago Yanzhu Lin ▴ 120
0
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7
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2.2k
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DESeq: Hypothesis testing in multifactor design
DESeq2 DESeq2
updated 10.1 years ago by 42k • written 10.1 years ago by ▴ 120
0
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0
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2.2k
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Comment: C: DESeq: Hypothesis testing in multifactor design
10.1 years ago Yanzhu Lin ▴ 120
0
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1
reply
2.2k
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Comment: C: DESeq: Hypothesis testing in multifactor design
10.1 years ago Yanzhu Lin ▴ 120
1
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1
reply
1.8k
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DESeq: multi-factors testing questions
DESeq DESeq2 DESeq DESeq2
updated 10.1 years ago by 42k • written 10.1 years ago by ▴ 120
0
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0
replies
1.5k
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Answer: A: power calculation of RNA-Seq
10.3 years ago Yanzhu Lin ▴ 120
0
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1
reply
900
views
Comment: C: edgeR: dispersion estimation
10.4 years ago Yanzhu Lin ▴ 120
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