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.
Machine learning identifies cancer-driving mutations at CTCF binding sites
Researchers developed a machine learning tool, CTCF-INSITE, to identify mutational hotspots at persistent CTCF binding sites across various cancers, highlighting their role in genomic structure
July 8, 2024