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 (2022) <DOI:10.1038/s41598-022-06500-4>).

Package details

AuthorDuc Tran [aut, cre], Bang Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd]
MaintainerDuc Tran <>
Package repositoryView on CRAN
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scISR documentation built on June 30, 2022, 9:05 a.m.