<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>cell-annotator on Marius Lange</title><link>https://mariuslange.com/tag/cell-annotator/</link><description>Recent content in cell-annotator on Marius Lange</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>marius.lange.lab@gmail.com (Marius Lange)</managingEditor><webMaster>marius.lange.lab@gmail.com (Marius Lange)</webMaster><copyright>© 2026 Marius Lange. This work is licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/).</copyright><lastBuildDate>Sun, 20 Apr 2025 12:00:00 +0000</lastBuildDate><atom:link href="https://mariuslange.com/tag/cell-annotator/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-Powered Cell Type Annotation for scRNA-seq Data with CellAnnotator</title><link>https://mariuslange.com/post/cell_annotator_release/</link><pubDate>Sun, 20 Apr 2025 12:00:00 +0000</pubDate><author>marius.lange.lab@gmail.com (Marius Lange)</author><guid>https://mariuslange.com/post/cell_annotator_release/</guid><description>&lt;p&gt;Tired of manually annotating cell types in your single-cell datasets? I&amp;rsquo;m thrilled to announce &lt;a href="https://github.com/quadbio/cell-annotator" target="_blank" rel="noreferrer"&gt;CellAnnotator&lt;/a&gt;, a new tool that harnesses the power of large language models to automate one of the most time-consuming steps in scRNA-seq analysis. As part of the &lt;a href="https://scverse.org/packages/#ecosystem" target="_blank" rel="noreferrer"&gt;scverse ecosystem&lt;/a&gt;, CellAnnotator interprets marker gene patterns to generate consistent cell type annotations with less human intervention. This works well for many systems where vast prior knowledge is available, but has limitations in less well studied systems. Also, you&amp;rsquo;ll still need to validate and fine-tune your annotations. So use with care.&lt;/p&gt;</description></item></channel></rss>