Ava Khamseh
@avakhamseh.bsky.social
Reader (Associate Professor) in Biomedical AI at University of Edinburgh |Quantitative Biomedicine #causalinference #ML #AI - views are my own
Great cross-disciplinary work with @cgatist.bsky.social @sjoerdvbeentjes.bsky.social @breesheyrh.bsky.social Olivier Labayle, Kelsey Tetley-Campbell, Mark van der laan @berkeleyctml.bsky.social (n/n)
October 1, 2025 at 11:36 AM
Great cross-disciplinary work with @cgatist.bsky.social @sjoerdvbeentjes.bsky.social @breesheyrh.bsky.social Olivier Labayle, Kelsey Tetley-Campbell, Mark van der laan @berkeleyctml.bsky.social (n/n)
Now published: TarGene stat/ML engine doi.org/10.1093/bios...
TarGene pipeline: targene.github.io/targene-pipe...
General purpose TMLE Julia package: doi.org/10.21105/jos... (3/n)
TarGene pipeline: targene.github.io/targene-pipe...
General purpose TMLE Julia package: doi.org/10.21105/jos... (3/n)
October 1, 2025 at 11:36 AM
Now published: TarGene stat/ML engine doi.org/10.1093/bios...
TarGene pipeline: targene.github.io/targene-pipe...
General purpose TMLE Julia package: doi.org/10.21105/jos... (3/n)
TarGene pipeline: targene.github.io/targene-pipe...
General purpose TMLE Julia package: doi.org/10.21105/jos... (3/n)
DNA variants modulate each other’s effects, but finding interactions in population cohorts is hard due to tiny effect sizes + massive testing burden. Using TarGene on 9 nuclear hormone receptor mechanisms we uncovered 535 2-point & 185 3-point interactions, revealing sex-biased genetic risk. (2/n)
October 1, 2025 at 11:36 AM
DNA variants modulate each other’s effects, but finding interactions in population cohorts is hard due to tiny effect sizes + massive testing burden. Using TarGene on 9 nuclear hormone receptor mechanisms we uncovered 535 2-point & 185 3-point interactions, revealing sex-biased genetic risk. (2/n)