Back to search

Article

Biologically informed deep neural network for prostate cancer classification and discovery

2020-12-09

Abstract excerpt

Determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer (PrCa) remains a major biological and clinical challenge. Here, we developed a biologically informed deep learning model (P-NET) to stratify PrCa patients by treatment resistance state and evaluate molecular drivers of treatment resistance for therapeutic targeting through complete model interpretability. Using a m...

Topics

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

Identifiers and source

Literature Corpus work
ca970780-baf9-5d80-8bbb-3b01472be024
DOI
10.1101/2020.12.08.416446
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.
Biologically informed deep neural network for prostate cancer classification and discoveryDOI 10.1101/2020.12.08.416446
Select a neighboring publication to make it the new centre.