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scISR: Single-Cell Imputation using Subspace Regression
Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) <DOI:10.1038/s41598-022-06500-4>).
Getting started
Browse package contents
Package details |
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| Author | Duc Tran [aut, cre], Bang Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd] |
| Maintainer | Duc Tran <duct@nevada.unr.edu> |
| License | LGPL |
| Version | 0.1.1 |
| URL | https://github.com/duct317/scISR |
| Package repository | View on CRAN |
| Installation |
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