XGDAG:

Andrea Mastropietro1, Gianluca De Carlo1, Aris Anagnostopoulos1

  • 1Department of Computer, Control and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Rome 00185, Italy.

概括

这项研究引入了一种新的,可解释的深度学习方法,用于疾病基因发现. 这种方法提高了基因优先级的准确性和可解释性,优于现有的计算方法.

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