Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
European Molecular Biology Laboratory · University of Oxford · +6 more institutions
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
1,228
total citations
- FWCI
- 44.87
- Percentile
- 100%
- References
- 85
Citations per year
Authors
7- SASimon AndersCorresponding
European Molecular Biology Laboratory
- DJDavis J. McCarthy
University of Oxford, Centre for Human Genetics
- YCYunshun Chen
Walter and Eliza Hall Institute of Medical Research, University of Melbourne
- MOMichał Okoniewski
ETH Zurich
- GKGordon K. Smyth
Walter and Eliza Hall Institute of Medical Research, University of Melbourne
Topics & keywords
Topics
Keywords
- Bioconductor
- Computational biology
- RNA
- Biology
- Count data
- Differential (mechanical device)
- RNA-Seq
- Gene expression
No related works found for this paper.