Back to search

Article

Finding human gene-disease associations using a Network Enhanced Similarity Search (NESS) of multi-species heterogeneous functional genomics data

2020-03-13

Abstract excerpt

Disease diagnosis and treatment is challenging in part due to the misalignment of diagnostic categories with the underlying biology of disease. The evaluation of large-scale genomic experimental datasets is a compelling approach to refining the classification of biological concepts, such as disease. Well-established approaches, some of which rely on information theory or network analysis, quantitatively assess rel...

Topics

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

Identifiers and source

Literature Corpus work
7f033d74-9a15-5402-be1c-5dee45ef099e
DOI
10.1101/2020.03.11.987552
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.
Finding human gene-disease associations using a Network Enhanced Similarity Search (NESS) of multi-species heterogeneous functional genomics dataDOI 10.1101/2020.03.11.987552
Select a neighboring publication to make it the new centre.