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bioconductor-roseq

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Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data

Installation

To install this package, run one of the following:

Conda
$conda install bioconda::bioconductor-roseq

Usage Tracking

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Description

ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.

About

Summary

Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data

Last Updated

Dec 15, 2024 at 07:52

License

GPL-3

Total Downloads

15.5K

Supported Platforms

noarch