Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.
Publication
, Journal Article
Mitra, S; Malik, R; Wong, W; Rahman, A; Hartemink, AJ; Pritykin, Y; Dey, KK; Leslie, CS
Published in: Nature genetics
June 2024
Duke Scholars
Published In
Nature genetics
DOI
EISSN
1546-1718
ISSN
1061-4036
Publication Date
June 2024
Volume
56
Issue
6
Start / End Page
1319
Related Subject Headings
- Developmental Biology
- 3105 Genetics
- 3102 Bioinformatics and computational biology
- 3001 Agricultural biotechnology
- 11 Medical and Health Sciences
- 06 Biological Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Mitra, S., Malik, R., Wong, W., Rahman, A., Hartemink, A. J., Pritykin, Y., … Leslie, C. S. (2024). Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis. Nature Genetics, 56(6), 1319. https://doi.org/10.1038/s41588-024-01805-8
Mitra, Sneha, Rohan Malik, Wilfred Wong, Afsana Rahman, Alexander J. Hartemink, Yuri Pritykin, Kushal K. Dey, and Christina S. Leslie. “Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.” Nature Genetics 56, no. 6 (June 2024): 1319. https://doi.org/10.1038/s41588-024-01805-8.
Mitra S, Malik R, Wong W, Rahman A, Hartemink AJ, Pritykin Y, et al. Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis. Nature genetics. 2024 Jun;56(6):1319.
Mitra, Sneha, et al. “Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.” Nature Genetics, vol. 56, no. 6, June 2024, p. 1319. Epmc, doi:10.1038/s41588-024-01805-8.
Mitra S, Malik R, Wong W, Rahman A, Hartemink AJ, Pritykin Y, Dey KK, Leslie CS. Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis. Nature genetics. 2024 Jun;56(6):1319.
Published In
Nature genetics
DOI
EISSN
1546-1718
ISSN
1061-4036
Publication Date
June 2024
Volume
56
Issue
6
Start / End Page
1319
Related Subject Headings
- Developmental Biology
- 3105 Genetics
- 3102 Bioinformatics and computational biology
- 3001 Agricultural biotechnology
- 11 Medical and Health Sciences
- 06 Biological Sciences