Article
Patient Graph Deep Learning to Predict Breast Cancer Molecular Subtype.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Furtney Isaac, Bradley Ray, Kabuka Mansur R
Abstract excerpt
Breast cancer is a heterogeneous disease consisting of a diverse set of genomic mutations and clinical characteristics. The molecular subtypes of breast cancer are closely tied to prognosis and therapeutic treatment options. We investigate using deep graph learning on a collection of patient factors from multiple diagnostic disciplines to better represent breast cancer patient information and predict molecular...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
