Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms

• Main Authors: Taylor M. Weiskittel (Author), Andrew Cao (Author), Kevin Meng-Lin (Author), Zachary Lehmann (Author), Benjamin Feng (Author), Cristina Correia (Author), Cheng Zhang (Author), Philip Wisniewski (Author), Shizhen Zhu (Author), Choong Yong Ung (Author), Hu Li (Author)
• Format: Book
• Published: MDPI AG, 2023-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Anticipating and understanding cancers' need for specific gene activities is key for novel therapeutic development. Here we utilized DepMap, a cancer gene dependency screen, to demonstrate that machine learning combined with network biology can produce robust algorithms that both predict what g...