<?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>bangtran365.r-universe.dev</title><link>https://bangtran365.r-universe.dev</link><description>Recent package updates in bangtran365</description><generator>R-universe</generator><image><url>https://github.com/bangtran365.png</url><title>R packages by bangtran365</title><link>https://bangtran365.r-universe.dev</link></image><lastBuildDate>Wed, 07 Jul 2021 07:51:16 GMT</lastBuildDate><item><title>[bangtran365] scCAN 1.0.0</title><author>bang.t.s@nevada.unr.edu (Bang Tran)</author><description>A single-cell Clustering method using Autoencoder and
Network fusion (scCAN) scCAN can accurately segregate cells
from the high-dimensional scRNA-Seq data.</description><link>https://github.com/r-universe/bangtran365/actions/runs/41836148195</link><pubDate>Wed, 07 Jul 2021 07:51:16 GMT</pubDate><r:package>scCAN</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://bangtran365.r-universe.dev</r:repository><r:upstream>https://github.com/bangtran365/sccan</r:upstream><r:article><r:source>Example.Rmd</r:source><r:filename>Example.html</r:filename><r:title>scCAN package manual</r:title><r:created>2021-07-07 06:50:28</r:created><r:modified>2021-07-07 06:50:28</r:modified></r:article></item></channel></rss>