<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>yingyanlaing.r-universe.dev</title><link>https://yingyanlaing.r-universe.dev</link><description>Recent package updates in yingyanlaing</description><generator>R-universe</generator><image><url>https://github.com/yingyanlaing.png</url><title>R packages by yingyanlaing</title><link>https://yingyanlaing.r-universe.dev</link></image><lastBuildDate>Wed, 20 May 2026 04:33:24 GMT</lastBuildDate><item><title>[yingyanlaing] ImmuneSigR 0.1.0</title><author>liangyingyan0625@163.com (Yingyan Liang)</author><description>Provides a literature-derived database of immune cell
markers formatted as Gene Matrix Transposed (GMT) files. Users
can search immune cell signatures, retrieve marker lists,
export GMT files, create custom marker sets, and score
gene-by-cell expression matrices with dependency-free
rank-based or mean-expression methods. Cell subpopulations are
distinguished by their source PMIDs. For the core curation of
the lung cell atlas, see Travaglini et al. (2020)
&lt;doi:10.1038/s41586-020-2922-4&gt;. For the pan-cancer B cell
signatures, see Fitzsimons et al. (2024)
&lt;doi:10.1016/j.ccell.2024.09.011&gt;.</description><link>https://github.com/r-universe/yingyanlaing/actions/runs/26150525539</link><pubDate>Wed, 20 May 2026 04:33:24 GMT</pubDate><r:package>ImmuneSigR</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://yingyanlaing.r-universe.dev</r:repository><r:upstream>https://github.com/yingyanlaing/immunesigr</r:upstream><r:article><r:source>ImmuneSigR-tutorial.Rmd</r:source><r:filename>ImmuneSigR-tutorial.html</r:filename><r:title>Introduction to ImmuneSigR</r:title><r:created>2026-05-08 14:17:48</r:created><r:modified>2026-05-14 15:15:56</r:modified></r:article></item><item><title>[cran] ImmuneSigR 0.1.0</title><author>liangyingyan0625@163.com (Yingyan Liang)</author><description>Provides a literature-derived database of immune cell
markers formatted as Gene Matrix Transposed (GMT) files. Users
can search immune cell signatures, retrieve marker lists,
export GMT files, create custom marker sets, and score
gene-by-cell expression matrices with dependency-free
rank-based or mean-expression methods. Cell subpopulations are
distinguished by their source PMIDs. For the core curation of
the lung cell atlas, see Travaglini et al. (2020)
&lt;doi:10.1038/s41586-020-2922-4&gt;. For the pan-cancer B cell
signatures, see Fitzsimons et al. (2024)
&lt;doi:10.1016/j.ccell.2024.09.011&gt;.</description><link>https://github.com/r-universe/cran/actions/runs/26102115152</link><pubDate>Tue, 19 May 2026 09:00:06 GMT</pubDate><r:package>ImmuneSigR</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/ImmuneSigR</r:upstream><r:article><r:source>ImmuneSigR-tutorial.Rmd</r:source><r:filename>ImmuneSigR-tutorial.html</r:filename><r:title>Introduction to ImmuneSigR</r:title><r:created>2026-05-19 09:00:06</r:created><r:modified>2026-05-19 09:00:06</r:modified></r:article></item></channel></rss>