Which mutations rewire function of regulatory DNA?
Excited to share SEAM: Systematic Explanation of Attribtuion-based Mechanisms. SEAM is an explainable AI method that dissects cis-regulatory mechanisms learned by seq2fun genomic deep learning models.
Led by @EESetiz
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At @iclr_conf and interested in AI x Bio? Come see new work by the Koo Lab!
1. Oral presentation at @gembioworkshop by Evan Seitz (@EESeitz) on SEAM a method to decode the mechanistic impact of genetic variation on regulatory sequences with deep learning!
openreview.net/forum?id=PtjM…
In genomic deep learning, the trends right now are to build bigger models that consider longer sequence contexts. While predictions are more powerful, their scale makes them difficult to interpret. To address this gap, we have developed CREME.
Paper: biorxiv.org/content/10.1101/…
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Thesis published: Analysis of Conformational Continuum and Free-energy Landscapes from Manifold Embedding of Single-particle Cryo-EM Ensembles of Biomolecules doi.org/10.7916/4n0v-wa24
I'm happy to announce the release of the ManifoldEM Python (beta) software suite, available at github.com/evanseitz/Manifol…, featuring many interactive tools to help researchers explore highly heterogeneous cryo-EM data sets. #CryoEM#ManifoldEM