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STREAK

Receptor Abundance Estimation using Feature Selection and Gene Set Scoring

Installation

About

Performs receptor abundance estimation for single cell RNA-sequencing data using a supervised feature selection mechanism and a thresholded gene set scoring procedure. Seurat's normalization method is described in: Hao et al., (2021) doi:10.1016/j.cell.2021.04.048, Stuart et al., (2019) doi:10.1016/j.cell.2019.05.031, Butler et al., (2018) doi:10.1038/nbt.4096 and Satija et al., (2015) doi:10.1038/nbt.3192. Method for reduced rank reconstruction and rank-k selection is detailed in: Javaid et al., (2022) doi:10.1101/2022.10.08.511197. Gene set scoring procedure is described in: Frost et al., (2020) doi:10.1093/nar/gkaa582. Clustering method is outlined in: Song et al., (2020) doi:10.1093/bioinformatics/btaa613 and Wang et al., (2011) doi:10.32614/RJ-2011-015.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2022-11-29 118 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks STREAK results

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Maintainer

Maintainer

Azka Javaid

azka.javaid.gr@dartmouth.edu

Authors

H. Robert Frost

aut

Azka Javaid

aut / cre

Material

Reference manual
Package source

Vignettes

STREAKvignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

Ckmeans.1d.dp
Matrix
Seurat
SPECK
stats
VAM

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