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).
- Version0.1.1
- R versionunknown
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- scISR citation info
- Last release06/30/2022
Documentation
Team
Duc Tran
Hung Nguyen
Show author detailsRolesAuthorBang Tran
Show author detailsRolesAuthorTin Nguyen
Show author detailsRolesfnd
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- Imports6 packages
- Suggests3 packages