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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
9.1 years ago Yanzhu Lin ▴ 120
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
4
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12
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3.9k
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modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
limma
9.1 years ago Yanzhu Lin ▴ 120
0
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0
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3.9k
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
0
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3.9k
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
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0
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4.7k
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Comment: A: mixed model using limma-voom
9.1 years ago Yanzhu Lin ▴ 120
1
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2
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4.7k
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mixed model using limma-voom
limma cancer
9.1 years ago Yanzhu Lin ▴ 120
1
vote
1
reply
1.4k
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limma voom: multi-factor design with random effects
limma
updated 9.1 years ago by 53k • written 9.1 years ago by ▴ 120
6
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4
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5.6k
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Does DESeq2 or edgeR take care of random effect in the GLM
deseq2 edger
updated 9.4 years ago by 53k • written 9.4 years ago by ▴ 120
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1
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962
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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 9.4 years ago by 53k • written 9.4 years ago by ▴ 120
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5.6k
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Comment: A: Does DESeq2 or edgeR take care of random effect in the GLM
9.4 years ago Yanzhu Lin ▴ 120
0
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0
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2.1k
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Comment: C: power calculation of RNA-Seq
11.2 years ago Yanzhu Lin ▴ 120
0
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1
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2.1k
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Comment: C: power calculation of RNA-Seq
11.2 years ago Yanzhu Lin ▴ 120
0
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0
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2.1k
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Comment: C: power calculation of RNA-Seq
11.2 years ago Yanzhu Lin ▴ 120
0
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6
replies
2.1k
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power calculation of RNA-Seq
updated 11.2 years ago by ▴ 260 • written 11.2 years ago by ▴ 120
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1
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2.5k
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Comment: C: DESeq: Hypothesis testing in multifactor design
11.2 years ago Yanzhu Lin ▴ 120
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7
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2.5k
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DESeq: Hypothesis testing in multifactor design
DESeq2 DESeq2
updated 11.2 years ago by 43k • written 11.2 years ago by ▴ 120
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0
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2.5k
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Comment: C: DESeq: Hypothesis testing in multifactor design
11.2 years ago Yanzhu Lin ▴ 120
0
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1
reply
2.5k
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Comment: C: DESeq: Hypothesis testing in multifactor design
11.2 years ago Yanzhu Lin ▴ 120
1
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1
reply
2.0k
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DESeq: multi-factors testing questions
DESeq DESeq2 DESeq DESeq2
updated 11.3 years ago by 43k • written 11.3 years ago by ▴ 120
0
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0
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1.8k
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Answer: A: power calculation of RNA-Seq
11.4 years ago Yanzhu Lin ▴ 120
0
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1
reply
1.1k
views
Comment: C: edgeR: dispersion estimation
11.5 years ago Yanzhu Lin ▴ 120
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