Back to search

Article

A consistent evaluation of miRNA-disease association prediction models

2020-05-05

Abstract excerpt

<h4>Motivation</h4> A variety of machine learning based approaches have been applied to predicting miRNA-disease association. Although promising, the evaluation set up to measure prediction performance is inconsistent making it difficult to assess the actual progress. A more acute problem is that most of the models overlook the problem of data leakage due to the use of precomputed miRNA and disease similarity fea...

Topics

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

Identifiers and source

Literature Corpus work
5b7ab83b-aafb-5e14-ab3d-b56941a73c24
DOI
10.1101/2020.05.04.075754
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.
A consistent evaluation of miRNA-disease association prediction modelsDOI 10.1101/2020.05.04.075754
Select a neighboring publication to make it the new centre.