DESCRIPTION

Package: scira
Title: Scalable Inference of Regulatory Activity
Version: 1.0.0
Description: scira is an R package designed to obtain transcription factor regulatory activity estimates of tissue-specific transcription factors in single-cell RNA-Seq data. It is a tissue-centric approach, which first builds a tissue-specific regulatory network, consisting of tissue-specific transcription factors plus their associated regulons. Using these regulons, scira can then estimate corresponding regulatory activity in single-cells, and may be specially useful in the context of a high dropout rate. scira is aimed at identifying tissue-specific regulatory factors that are disrupted in cancer, preneoplastic lesions or in normal cells exposed to disease risk factors.
Date: 2023-06-20
Author: Andrew E. Teschendorff <andrew@sinh.ac.cn>
Maintainer: Andrew E. Teschendorff <andrew@sinh.ac.cn>
Depends: R (>= 4.3)
Imports: parallel, corpcor, org.Hs.eg.db, limma, AnnotationDbi,
        ggplot2, GGally, network, sna, scales
Suggests: BiocStyle, knitr, rmarkdown, Biobase, Hmisc, marray, plotrix
VignetteBuilder: knitr
License: GPL-2
LazyData: true
URL: https://github.com/aet21/scira