Showing : glmlrt() • reset
2
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EdgeR User Guide: use of glmLRT vs glmQLF in oral carcinoma Case Study
edger design matrix glmlrt() glmQFTest() paired design
7.1 years ago oakhamwolf • 0
4
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15
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2.7k
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Adjusting for procedural effect and deciding on statistical test
EdgeR glmlrt() ql f-test
9.1 years ago • updated 8.4 years ago elineverbon ▴ 20
0
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7
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4.3k
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Computing contrasts with a covariate using edgeR glmLRT()
edger contrast covariate glmlrt()
8.6 years ago Jeff Skinner • 0
1
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6
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1.6k
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design of edgeR GLM test
edger differential gene expression glmlrt()
8.9 years ago simarsidhu25 • 0
4
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7
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3.5k
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Can we use glmQLFit instead of glmFit and then glmLRT in edgeR
edger differential gene expression glmlrt()
8.9 years ago simarsidhu25 • 0
7
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5
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4.4k
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edgeR effects of design on testing main effects and interactions
edger glmfit glmlrt()
updated 10.0 years ago by ★ 29k • written 10.0 years ago by • 0
4
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8
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2.4k
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EdgeR: batches and samples over-specify system, how to contrast un-modeled variables?
edger glmlrt() differential expression design and contrast matrix
updated 10.4 years ago by 53k • written 10.4 years ago by • 0
5
votes
7
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4.7k
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How to specify 'contrast' in glmLRT command when treatments in design matrix are named with numbers, not letters
edger rnaseq glmlrt()
updated 10.7 years ago by 68k • written 10.7 years ago by • 0
6
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7
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7.9k
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EdgeR: glmLRT(), Multifactorial designs and correction for multiple testing
edgeR glmLRT() multiple factor design multiple testing correction
updated 10.9 years ago by ★ 29k • written 10.9 years ago by ▴ 80
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Comment: Bioconductor 3.22 Release Schedule by loganlstevens • 0
This release reminds me of the strategies in [solitaired](https://solitaired.io) to overcome live solitaires.
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Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Identifying differentially expressed genes in individual samples from a large co
Answer: Identifying differentially expressed genes in individual samples from a large co
Bioconductor Seminar Series - Dec 2: Deep-learning Gene Perturbation Effect Prediction
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