Nature Communications (Oct 2021)
DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data
- Bobby Ranjan,
- Wenjie Sun,
- Jinyu Park,
- Kunal Mishra,
- Florian Schmidt,
- Ronald Xie,
- Fatemeh Alipour,
- Vipul Singhal,
- Ignasius Joanito,
- Mohammad Amin Honardoost,
- Jacy Mei Yun Yong,
- Ee Tzun Koh,
- Khai Pang Leong,
- Nirmala Arul Rayan,
- Michelle Gek Liang Lim,
- Shyam Prabhakar
Affiliations
- Bobby Ranjan
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Wenjie Sun
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Jinyu Park
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Kunal Mishra
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Florian Schmidt
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Ronald Xie
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Fatemeh Alipour
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Vipul Singhal
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Ignasius Joanito
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Mohammad Amin Honardoost
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Jacy Mei Yun Yong
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital
- Ee Tzun Koh
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital
- Khai Pang Leong
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital
- Nirmala Arul Rayan
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Michelle Gek Liang Lim
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- Shyam Prabhakar
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore
- DOI
- https://doi.org/10.1038/s41467-021-26085-2
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 12
Abstract
Cell-type-specific genes are often strongly correlated in expression - an informative yet underexplored property of single-cell data. Here, the authors leverage gene expression correlations to develop DUBStepR, a feature selection method for accurately clustering single-cell data.
