Catalina Vallejos

@catavallejos.bsky.social

🇨🇱🇬🇧🏴󠁧󠁢󠁳󠁣󠁴󠁿Reader / Biomedical Data Science group leader @uoe-igc.bsky.social Co-Director Health Data Research UK Scotland. ELLIS Health Scholar. Former @turinginst. Opinions my own.

Happy to share our new preprint! 📊 We benchmarked methods for locus-level transposable element quantification in short-read scRNA-seq, using both real datasets and simulations with read-level ground truth. Huge thanks to @catavallejos.bsky.social and @antonio-scialdone.bsky.social! #TEsky

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social · 5mo ago

Benchmarking computational tools for locus-specific analysis of transposable elements in single-cell RNA-seq datasets https://www.biorxiv.org/content/10.64898/2026.02.26.708244v1

Our work with Alan O'Callaghan now published! Are you interested in how divide-and-conquer MCMC methods could speed up Bayesian inference for a high dimensional model (thousands of params) with "tall and wide" data (large p and large n)? Read our paper: www.sciencedirect.com/science/arti...

Scalable inference of transcriptional variability with BASiCS

BASiCS (Bayesian Analysis of Single-Cell Sequencing data) is an integrated Bayesian hierarchical model for the analysis of single-cell RNA sequencing …

sciencedirect.com