Concurrently-developed deep learning models to capture transcription initiation syntax: Anshul Kundaje (anshulkundaje@bluesky) lab's ProCapNet doi.org/10.1101/2024.0… Charles Danko lab's CLIPNET doi.org/10.1101/2024.0… #MLCB2024

Our work led by the great Adam He! See his follow up poster/ short talk on how using personalized genotypes improves SNP effect prediction. #MLCB2024 x.com/compbiologist/…

Does training sequence-to-function models on matched functional & genome sequences improve variant effect prediction? For local functions like transcription initiation/enhancer activity, our view is yes. Please check out our new preprint: doi.org/10.1101/2024.1…

Great work from Adam He ! First convincing case I've seen for improved performance of sequence models (of nascent Tx) on variant effect prediction due to training on moderate number of diploid genomes with matched molecular profiles 1/

Latest work from our lab on improving variant interpretation for sequence to function models. Congrats to Adam He and Nathan Palamuttam x.com/missing_a_rib/…