New Results
A tool for browsing the Cancer Dependency Map reveals functional connections between genes and helps predict the efficacy and selectivity of candidate cancer drugs
View ORCID ProfileKenichi Shimada, Jeremy L Muhlich, Timothy J Mitchison
doi: https://doi.org/10.1101/2019.12.13.874776
Kenichi Shimada
Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
Jeremy L Muhlich
Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
Timothy J Mitchison
Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
Article usage
Posted December 18, 2019.
A tool for browsing the Cancer Dependency Map reveals functional connections between genes and helps predict the efficacy and selectivity of candidate cancer drugs
Kenichi Shimada, Jeremy L Muhlich, Timothy J Mitchison
bioRxiv 2019.12.13.874776; doi: https://doi.org/10.1101/2019.12.13.874776
Subject Area
Subject Areas
- Biochemistry (13704)
- Bioengineering (10434)
- Bioinformatics (33152)
- Biophysics (17100)
- Cancer Biology (14172)
- Cell Biology (20106)
- Clinical Trials (138)
- Developmental Biology (10868)
- Ecology (16014)
- Epidemiology (2067)
- Evolutionary Biology (20343)
- Genetics (13393)
- Genomics (18633)
- Immunology (13748)
- Microbiology (32164)
- Molecular Biology (13387)
- Neuroscience (70067)
- Paleontology (526)
- Pathology (2189)
- Pharmacology and Toxicology (3741)
- Physiology (5861)
- Plant Biology (12020)
- Synthetic Biology (3367)
- Systems Biology (8166)
- Zoology (1841)