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

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

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 genes...

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Bibliographic Details
Main Authors: Taylor M. Weiskittel, Andrew Cao, Kevin Meng-Lin, Zachary Lehmann, Benjamin Feng, Cristina Correia, Cheng Zhang, Philip Wisniewski, Shizhen Zhu, Choong Yong Ung, Hu Li
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Pharmaceuticals
Subjects:
gene dependency
systems biology
systems pharmacology
Online Access:https://www.mdpi.com/1424-8247/16/5/752

Internet

https://www.mdpi.com/1424-8247/16/5/752

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