Classifying cells with Scasat, a single-cell ATAC-seq analysis tool
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 5 - Biological Sciences
- Output identifier
- 83863474
- Type
- D - Journal article
- DOI
-
10.1093/nar/gky950
- Title of journal
- Nucleic acids research
- Article number
- -
- First page
- e10
- Volume
- 47
- Issue
- 2
- ISSN
- 0305-1048
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- 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
-
4
- Research group(s)
-
K - Informatics, Imaging and Data Sciences
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
