Researchers have used artificial intelligence to decode the DNA signature of a critical «initiator» — a sequence that acts like an «on switch» for roughly 60% of human genes. By analyzing about 500,000 DNA sequences and training a machine learning model, the team identified the characteristic pattern associated with this initiator. This breakthrough could significantly improve our ability to predict how mutations in these regulatory regions affect gene activity, which is increasingly linked to diseases like ca
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