DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

Abstract Background Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to therapy. Accurately differentiating between breast cancer sub-types is an important part of clinical decision-making. Alth...

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Bibliographic Details
Main Authors: Adham Beykikhoshk, Thomas P. Quinn, Samuel C. Lee, Truyen Tran, Svetha Venkatesh
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Medical Genomics
Subjects:
Breast cancer
Precision medicine
TCGA
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12920-020-0658-5

Internet

http://link.springer.com/article/10.1186/s12920-020-0658-5

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