<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Tanigawa Lab</title><link>https://tanigawalab.org/publication_types/paper-conference/</link><atom:link href="https://tanigawalab.org/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Thu, 01 Nov 2018 00:00:00 +0000</lastBuildDate><image><url>https://tanigawalab.org/media/logo_hu_6ec5cb994dd998e6.png</url><title>Paper-Conference</title><link>https://tanigawalab.org/publication_types/paper-conference/</link></image><item><title>SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs</title><link>https://tanigawalab.org/publications/2018/snps2chip/</link><pubDate>Thu, 01 Nov 2018 00:00:00 +0000</pubDate><guid>https://tanigawalab.org/publications/2018/snps2chip/</guid><description>&lt;p&gt;We propose SNPs2ChIP, a method to infer biological functions of non-coding variants through unsupervised statistical learning methods applied to publicly-available epigenetic datasets.&lt;/p&gt;</description></item></channel></rss>