Back to search

Article

DeepEAG: An edge-powered graph neural network using SMILES augmentation for cancer drug response prediction

2023-10-26

Abstract excerpt

<title>Abstract</title> <p>Motivation:: The prediction of cancer drug response is a challenging subject in modern personalized cancer therapy due to the uncertainty of drug efficacy and the heterogeneity of patients. It has been shown that the characteristics of the drug itself and the genomic characteristics of the patient can greatly influence the results of cancer drug response. Therefore, accurate, efficient,...

Topics

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

Identifiers and source

Literature Corpus work
52be5f96-2dd6-507f-8aa6-18c30a6a662d
DOI
10.21203/rs.3.rs-3480344/v1
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.
DeepEAG: An edge-powered graph neural network using SMILES augmentation for cancer drug response predictionDOI 10.21203/rs.3.rs-3480344/v1
Select a neighboring publication to make it the new centre.