Josh Welch
@LabWelch
Computational Biologist, Associate Professor at U. Michigan
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Very proud of my student, Chen Li, who defended his dissertation today! Chen developed the MultiVelo approach for modeling cell differentiation. His latest paper extending MultiVelo was just accepted this week! nature.com/articles/s4158…
🧠 Toward the #VirtualCell era: we stress‑test foundation models & GRN/AE/VAE methods and show when/why they win. and we found PerturbNet achieve very good result on benchmarks @LabWelch, foundation model have limited generalization but win on some metrics
Our paper is now out in Genome Biology! We used AlphaFold2 to identify how alternative splicing in human cells changes protein structure--specifically protein compactness, PTM site accessibility, surface charge, IDRs, and predicted functions. genomebiology.biomedcentral.com/articles/10.11…
How does alternative splicing regulate protein structure to enable cell-type-specific protein functions? With @momeara, we used AlphaFold2 + scRNA-seq to investigate this question in our latest preprint. biorxiv.org/content/10.110…🧵
Excited to speak at the Keystone Conference on AI in Molecular Biology tomorrow. It's been a fantastic conference so far! keystonesymposia.org/conferences/co…
Excited to teach Machine Learning in Computational Biology this semester! Lots of interesting new developments to talk about since the last course offering two years ago.
Interested in studying cell differentiation at the cellular level but don't trust your UMAP plots? Try visualizing your cell differentiation in space with our TopoVelo tool!
Our paper is now in @NatureBiotech! Topological velocity inference from spatial transcriptomic data. TopoVelo infers the direction of differentiation/migration; quantifies spatial cell influence; and identifies morphology changes during differentiation. 🧵rdcu.be/ewqMB
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