Published April 6, 2023
| Version v1
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R package associated with the ZINBMM: a general mixture model for simultaneous clustering and gene selection using single-cell transcriptomic data
Authors/Creators
- 1. Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China
- 2. Department of Biostatistics, Yale University, New Haven, USA
- 3. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
Description
This is the R package associated with the work "ZINBMM: a general mixture model for simultaneous clustering and gene selection using single-cell transcriptomic data", which includes the main functions of ZINBMM and an illustrative example to help implement the approach.
Files
Files
(60.9 kB)
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