Back to search

Article

Factor Graph-aggregated Heterogeneous Network Embedding for Disease-gene Association Prediction

2020-12-15

Abstract excerpt

<h4>Background: </h4> Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and de-veloping corresponding therapeutic measures. The prediction of dis-ease-gene association by computational methods accelerates the pro-cess. <h4>Results: </h4> Many existing methods cannot fully utilize the multi-dimen-sional biological entity relationship to predic...

Topics

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

Identifiers and source

Literature Corpus work
adac2446-11e0-55e9-b2a9-c11cc969d937
DOI
10.21203/rs.3.rs-124672/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.
Factor Graph-aggregated Heterogeneous Network Embedding for Disease-gene Association PredictionDOI 10.21203/rs.3.rs-124672/v1
Select a neighboring publication to make it the new centre.