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)
- Version0.1.1
- R version≥ 3.4
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- scISR citation info
- Last release06/30/2022
Documentation
Team
Duc Tran
Bang Tran
Show author detailsRolesAuthorHung Nguyen
Show author detailsRolesAuthorTin Nguyen
Show author detailsRolesfnd
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports9 packages
- Suggests3 packages