New Results
SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles
Nan Papili Gao, S.M. Minhaz Ud-Dean, Rudiyanto Gunawan
doi: https://doi.org/10.1101/089110
Nan Papili Gao
1Institute for Chemical and Bioengineering, ETH Zurich, Zurich, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, Switzerland
S.M. Minhaz Ud-Dean
3Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany
Rudiyanto Gunawan
1Institute for Chemical and Bioengineering, ETH Zurich, Zurich, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, Switzerland
Article usage
Posted November 23, 2016.
SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles
Nan Papili Gao, S.M. Minhaz Ud-Dean, Rudiyanto Gunawan
bioRxiv 089110; doi: https://doi.org/10.1101/089110
Subject Area
Subject Areas
- Biochemistry (11573)
- Bioengineering (8623)
- Bioinformatics (28875)
- Biophysics (14805)
- Cancer Biology (11944)
- Cell Biology (17170)
- Clinical Trials (138)
- Developmental Biology (9307)
- Ecology (14022)
- Epidemiology (2067)
- Evolutionary Biology (18129)
- Genetics (12148)
- Genomics (16619)
- Immunology (11712)
- Microbiology (27702)
- Molecular Biology (11401)
- Neuroscience (60106)
- Paleontology (448)
- Pathology (1849)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10279)
- Synthetic Biology (2849)
- Systems Biology (7291)
- Zoology (1619)