Researchers reveal a common deficiency in genetic prediction methods

A study conducted by researchers from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore and the School of Biological Sciences at Nanyang Technological University, Singapore (NTU Singapore) revealed a common deficiency in existing artificial intelligence methods used to predict enhancer-promoter interactions, that may result in inflated performance measurements. The findings, published in scientific journal Nature Genetics in July 2019, provides an enhanced road map for the understanding of gene regulation.


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Source: Phys.org