<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>José Juan Almagro Armenteros | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/jose-juan-almagro-armenteros/</link><atom:link href="https://gpap-project.github.io/author/jose-juan-almagro-armenteros/index.xml" rel="self" type="application/rss+xml"/><description>José Juan Almagro Armenteros</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 21 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>José Juan Almagro Armenteros</title><link>https://gpap-project.github.io/author/jose-juan-almagro-armenteros/</link></image><item><title>Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2</title><link>https://gpap-project.github.io/publication/florensa-2026-whole/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/florensa-2026-whole/</guid><description/></item><item><title>SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects</title><link>https://gpap-project.github.io/publication/florensa-2024-spanseq/</link><pubDate>Tue, 02 Jul 2024 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/florensa-2024-spanseq/</guid><description/></item></channel></rss>