Machine learning reveals genetic modifiers of the immune microenvironment of cancer

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 forest mod...

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Detalles Bibliográficos
Autores principales: Riley-Gillis, Bridget, Tsaih, Shirng-Wern, King, Emily, Wollenhaupt, Sabrina, Reeb, Jonas, Peck, Amy R., Wackman, Kelsey, Lemke, Angela, Rui, Hallgeir, Dezso, Zoltan, Flister, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470213/
https://www.ncbi.nlm.nih.gov/pubmed/37664640
http://dx.doi.org/10.1016/j.isci.2023.107576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470213/
https://www.ncbi.nlm.nih.gov/pubmed/37664640
http://dx.doi.org/10.1016/j.isci.2023.107576

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