AI and Genomic Variant Interpretation Tech Talks
kenbwork · x · 2026-07-13
This post rounds up a series of tech talks on the intersection of AI and genomic variant interpretation, spanning from sequence-to-function and gene expression prediction to multi-omics modeling.
Key highlights include:
- Predicting individual molecular phenotypes using sequence-to-function models.
- Challenges of using deep learning to predict gene expression based on genetic variants and personal genomes.
- VariantFormer: Combining DNA sequences, genetic variants, and regulatory landscapes for personalized gene expression prediction.
- Analyzing gene-by-exercise effects in human acute exercise cohorts using deep learning and multi-omics.
Overall, this is a highly technical set of research talks focused on AI for Science / Computational Biology.
Related event: AI Variant Interpretation Talk Highlights Benchmarks and Multi-omics(3 posts)→
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