CRAN/E | scISR

scISR

Single-Cell Imputation using Subspace Regression

Installation

About

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).

Citation scISR citation info
github.com/duct317/scISR
Bug report File report

Key Metrics

Version 0.1.1
R ≥ 3.4
Published 2022-06-30 832 days ago
Needs compilation? no
License LGPL-2
License LGPL-2.1
License LGPL-3
CRAN checks scISR results

Downloads

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Maintainer

Maintainer

Duc Tran

Authors

Duc Tran

aut / cre

Bang Tran

aut

Hung Nguyen

aut

Tin Nguyen

fnd

Material

README
Reference manual
Package source

Vignettes

scISR package manual

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.4

Imports

cluster
entropy
stats
utils
parallel
irlba
PINSPlus
matrixStats
markdown

Suggests

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