New Results
powsimR: Power analysis for bulk and single cell RNA-seq experiments
Beate Vieth, Christoph Ziegenhain, Swati Parekh, Wolfgang Enard, Ines Hellmann
doi: https://doi.org/10.1101/117150
Beate Vieth
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, Munich, Germany
Christoph Ziegenhain
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, Munich, Germany
Swati Parekh
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, Munich, Germany
Wolfgang Enard
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, Munich, Germany
Ines Hellmann
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, Munich, Germany
Article usage
Posted April 13, 2017.
powsimR: Power analysis for bulk and single cell RNA-seq experiments
Beate Vieth, Christoph Ziegenhain, Swati Parekh, Wolfgang Enard, Ines Hellmann
bioRxiv 117150; doi: https://doi.org/10.1101/117150
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8722)
- Bioinformatics (29127)
- Biophysics (14932)
- Cancer Biology (12048)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12220)
- Genomics (16766)
- Immunology (11841)
- Microbiology (28005)
- Molecular Biology (11552)
- Neuroscience (60808)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4939)
- Plant Biology (10384)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)