Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics
Broad Institute · Harvard University · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
238
total citations
- FWCI
- 20.27
- Percentile
- 100%
- References
- 106
Citations per year
Authors
9Topics & keywords
Topics
Keywords
- Biology
- Epigenomics
- Genome-wide association study
- Disease
- Genetics
- Computational biology
- Cell type
- Genome
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.
Funding
- HHHoward Hughes Medical Institute
- MFManton Foundation
- NINational Institutes of HealthAwards: MH107649, MH101244, K99/R00, HG006399, R01 MH109978, R01 HG006399, R01 MH101244, R01 MH115676, U01 HG009379, MH115676, R37 MH107649, HG009379, 5U24AI118672
- KCKlarman Cell Observatory, Broad Institute
- NHNational Human Genome Research InstituteAwards: U01 HG009379, R01 MH109978, K99HG012203, HG009379, R01 MH101244, MH101244, HG006399, R01 MH115676, R00HG009917, R01 HG006399, R37 MH107649