Back to search

Article

Deep functional synthesis: a machine learning approach to gene functional enrichment

2019-11-13

Abstract excerpt

<h4>ABSTRACT</h4> Gene functional enrichment is a mainstay of genomics, but it relies on manually curated databases of gene functions that are incomplete and unaware of the biological context. Here we present an alternative machine learning approach, Deep Functional Synthesis (DeepSyn), which moves beyond gene function databases to dynamically infer the functions of a gene set from its associated network of liter...

Topics

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

Identifiers and source

Literature Corpus work
305ad816-aaf1-50d1-9043-7006247e7c9d
DOI
10.1101/824086
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.
Deep functional synthesis: a machine learning approach to gene functional enrichmentDOI 10.1101/824086
Select a neighboring publication to make it the new centre.