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

• Hoofdauteurs: Taylor M. Weiskittel (Auteur), Andrew Cao (Auteur), Kevin Meng-Lin (Auteur), Zachary Lehmann (Auteur), Benjamin Feng (Auteur), Cristina Correia (Auteur), Cheng Zhang (Auteur), Philip Wisniewski (Auteur), Shizhen Zhu (Auteur), Choong Yong Ung (Auteur), Hu Li (Auteur)
• Formaat: Boek
• Gepubliceerd in: MDPI AG, 2023-05-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: 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...