Machine learning reveals genetic modifiers of the immune microenvironment of cancer

Machine learning reveals genetic modifiers of the immune microenvironment of cancer

Summary: Heritability in the immune tumor microenvironment (iTME) has been widely observed yet remains largely uncharacterized. Here, we developed a machine learning approach to map iTME modifiers within loci from genome-wide association studies (GWASs) for breast cancer (BrCa) incidence. A random f...

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Bibliographic Details
Main Authors: Bridget Riley-Gillis, Shirng-Wern Tsaih, Emily King, Sabrina Wollenhaupt, Jonas Reeb, Amy R. Peck, Kelsey Wackman, Angela Lemke, Hallgeir Rui, Zoltan Dezso, Michael J. Flister
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:iScience
Subjects:
Microenvironment
Quantitative genetics
Cancer systems biology
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422301653X

Internet

http://www.sciencedirect.com/science/article/pii/S258900422301653X

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