Title: Decoding Regulatory DNA with Deep Learning ModelsAbstract: The human genome sequence contains functional DNA words, syntax and grammar that regulate gene activity in cell-type specific manner. Deciphering this regulatory is essential for understanding how genes are controlled across cell types, individuals, and species, and for explaining how genetic variation shapes traits and disease. Large-scale molecular profiling efforts now provide rich, cell-type–specific regulatory maps, offering an unprecedented opportunity to apply machine learning to decode sequence-function relationships……
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