News-Medical.Net January 31, 2025
Summary: A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can predict which genes are expressed in any type of human cell. The model, called EpiBERT, was inspired by BERT, a deep learning model designed to understand and generate human-like language.
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 that inform which of these sequences are unwound from the chromosome and read by the cell. The model was first trained to learn the relationship between DNA sequence and...
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