Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 1 - Clinical Medicine
- Output identifier
- 100
- Type
- D - Journal article
- DOI
-
10.1038/s41467-019-09799-2
- Title of journal
- Nature Communications
- Article number
- 2674
- First page
- -
- Volume
- 10
- Issue
- -
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
25
- Research group(s)
-
G - Neuroscience
- Citation count
- 47
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- (a) The author made a substantial contribution to the conception and design of the study; and to analysis and interpretation of study data. (b) The author helped draft the output.
- Non-English
- No
- English abstract
- -
