MoBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.

ABSTRACT:

Background

Breast cancer is a highly heterogeneous disease that comprises multiple biological components. Owing its diversity, patients have different prognostic outcomes; hence, early diagnosis and accurate subtype prediction are critical for treatment. Standardized breast cancer subtyping systems, mainly based on single-omics datasets, have been developed to ensure proper treatment in a systematic manner. Recently, multi-omics data integration has attracted attention to provide a comprehensive view of patients but poses a challenge due to the high dimensionality. In recent years, deep learning-based approaches have been proposed, but they still present several limitations.

Results

In this study, we describe moBRCA-net, an interpretable deep learning-based breast cancer sub

SUBMITTER: Choi JM 

PROVIDER: S-EPMC10131354 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature