Back to search

Article

Attention-based GCN Integrates Multi-omics Data for Breast Cancer Subtype Classification and Patient-specific Gene Marker Identification

2022-09-06

Abstract excerpt

Breast cancer is a heterogeneous disease and can be divided into several subtypes with unique prognostic and molecular characteristics. Classification of breast cancer subtypes plays an important role in the precision treatment and prognosis of breast cancer. Benefitting from the relation-aware ability of graph convolution network (GCN), we presented a multi-omics integrative method, attention-based GCN, for breas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9f062a01-76ad-5e39-98d5-e277877ba87b
DOI
10.1101/2022.09.05.506572
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Attention-based GCN Integrates Multi-omics Data for Breast Cancer Subtype Classification and Patient-specific Gene Marker IdentificationDOI 10.1101/2022.09.05.506572
Select a neighboring publication to make it the new centre.