<?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>kunstats.r-universe.dev</title><link>https://kunstats.r-universe.dev</link><description>Recent package updates in kunstats</description><generator>R-universe</generator><image><url>https://github.com/kunstats.png</url><title>R packages by kunstats</title><link>https://kunstats.r-universe.dev</link></image><lastBuildDate>Sun, 29 May 2022 06:35:19 GMT</lastBuildDate><item><title>[vivianstats] scINSIGHT 0.1.4</title><author>kun_qian@foxmail.com (Kun Qian)</author><description>We develop a novel matrix factorization tool named
'scINSIGHT' to jointly analyze multiple single-cell gene
expression samples from biologically heterogeneous sources,
such as different disease phases, treatment groups, or
developmental stages. Given multiple gene expression samples
from different biological conditions, 'scINSIGHT'
simultaneously identifies common and condition-specific gene
modules and quantify their expression levels in each sample in
a lower-dimensional space. With the factorized results, the
inferred expression levels and memberships of common gene
modules can be used to cluster cells and detect cell
identities, and the condition-specific gene modules can help
compare functional differences in transcriptomes from distinct
conditions. Please also see Qian K, Fu SW, Li HW, Li WV (2022)
&lt;doi:10.1186/s13059-022-02649-3&gt;.</description><link>https://github.com/r-universe/vivianstats/actions/runs/38133322682</link><pubDate>Sun, 29 May 2022 06:35:19 GMT</pubDate><r:package>scINSIGHT</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://vivianstats.r-universe.dev</r:repository><r:upstream>https://github.com/vivianstats/scinsight</r:upstream></item></channel></rss>