A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia ...

“With extensive pretraining on broad and diverse datasets, foundation models provide a generalized understanding ... instead of diseased human cells. The GET algorithm learned features relevant ...

EpiBERT was trained on data from hundreds of human cell types in multiple phases. It was fed the genomic sequence, which is 3 billion base pairs long, along with maps of chromatin accessibility ...