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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
7.5 years ago Yanzhu Lin ▴ 120
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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Comment: C: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
4
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12
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3.0k
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modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
limma
7.6 years ago • updated 7.5 years ago Yanzhu Lin ▴ 120
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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3.0k
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Comment: A: modeling heteroscedasticity in limma-voom for RNA-Seq data analysis
updated 7.5 years ago by 50k • written 7.5 years ago by ▴ 120
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0
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3.7k
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Comment: A: mixed model using limma-voom
7.6 years ago Yanzhu Lin ▴ 120
1
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2
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3.7k
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mixed model using limma-voom
limma cancer
7.6 years ago Yanzhu Lin ▴ 120
1
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1
reply
1.1k
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limma voom: multi-factor design with random effects
limma
updated 7.6 years ago by 50k • written 7.6 years ago by ▴ 120
6
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4
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4.7k
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Does DESeq2 or edgeR take care of random effect in the GLM
deseq2 edger
updated 7.8 years ago by 50k • written 7.8 years ago by ▴ 120
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1
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751
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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 7.8 years ago by 50k • written 7.8 years ago by ▴ 120
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Comment: A: Does DESeq2 or edgeR take care of random effect in the GLM
7.8 years ago Yanzhu Lin ▴ 120
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0
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1.6k
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Comment: C: power calculation of RNA-Seq
9.6 years ago Yanzhu Lin ▴ 120
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1
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1.6k
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Comment: C: power calculation of RNA-Seq
9.6 years ago Yanzhu Lin ▴ 120
0
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0
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1.6k
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Comment: C: power calculation of RNA-Seq
9.6 years ago Yanzhu Lin ▴ 120
0
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6
replies
1.6k
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power calculation of RNA-Seq
updated 9.6 years ago by ▴ 260 • written 9.6 years ago by ▴ 120
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1
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2.1k
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Comment: C: DESeq: Hypothesis testing in multifactor design
9.7 years ago Yanzhu Lin ▴ 120
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7
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2.1k
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DESeq: Hypothesis testing in multifactor design
DESeq2 DESeq2
updated 9.7 years ago by 41k • written 9.7 years ago by ▴ 120
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2.1k
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Comment: C: DESeq: Hypothesis testing in multifactor design
9.7 years ago Yanzhu Lin ▴ 120
0
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1
reply
2.1k
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Comment: C: DESeq: Hypothesis testing in multifactor design
9.7 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 9.7 years ago by 41k • written 9.7 years ago by ▴ 120
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0
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1.3k
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Answer: A: power calculation of RNA-Seq
9.8 years ago Yanzhu Lin ▴ 120
0
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1
reply
827
views
Comment: C: edgeR: dispersion estimation
10.0 years ago Yanzhu Lin ▴ 120
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