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83 limit number of cores for tests #84

Merged
merged 15 commits into from
Feb 8, 2024
4 changes: 3 additions & 1 deletion .github/workflows/r-build-check.yml
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workflow_dispatch:
jobs:
build-check:
uses: FertigLab/actions/.github/workflows/r-build-check.yml@v1
uses: FertigLab/actions/.github/workflows/r-build-check.yml@v1.1.1
with:
chargs: 'c("--no-manual")'
7 changes: 4 additions & 3 deletions DESCRIPTION
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@@ -1,6 +1,6 @@
Package: CoGAPS
Version: 3.21.6
Date: 2023-03-18
Version: 3.23.1
Date: 2024-02-01
Title: Coordinated Gene Activity in Pattern Sets
Author: Jeanette Johnson, Ashley Tsang, Jacob Mitchell, Thomas Sherman, Wai-shing Lee, Conor Kelton, Ondrej Maxian, Jacob Carey,
Genevieve Stein-O'Brien, Michael Considine, Maggie Wodicka, John Stansfield,
Expand Down Expand Up @@ -44,7 +44,8 @@ Suggests:
knitr,
rmarkdown,
BiocStyle,
SeuratObject
SeuratObject,
BiocFileCache
LinkingTo: Rcpp, BH
VignetteBuilder: knitr
LazyLoad: true
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5 changes: 3 additions & 2 deletions README.md
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<img src="https://user-images.githubusercontent.com/25310425/169565420-56958b50-29a2-4032-afb3-08447577d074.png" width="300">
<img src="https://user-images.githubusercontent.com/25310425/169565420-56958b50-29a2-4032-afb3-08447577d074.png" width="150">

[![R build status](https://github.com/FertigLab/CoGAPS/workflows/r-build-check/badge.svg)](https://github.com/FertigLab/CoGAPS/actions?workflow=r-build-check)

# CoGAPS

[![Bioc](https://bioconductor.org/images/logo_bioconductor.gif)](https://bioconductor.org/packages/CoGAPS)
[![downloads](https://bioconductor.org/shields/downloads/release/CoGAPS.svg)](http://bioconductor.org/packages/stats/bioc/CoGAPS/)
[![Build Status](https://travis-ci.org/FertigLab/CoGAPS.svg?branch=master)](https://travis-ci.org/FertigLab/CoGAPS)

Coordinated Gene Activity in Pattern Sets (CoGAPS) implements a Bayesian MCMC matrix factorization algorithm, GAPS, and links it to gene set statistic methods to infer biological process activity. It can be used to perform sparse matrix factorization on any data, and when this data represents biomolecules, to do gene set analysis.

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