Back to search

Article

DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features

2020-01-10

Abstract excerpt

<title>Abstract</title> <p>Circular RNAs (circRNAs) are special noncoding RNA molecules with closed loop structures. Compared with the traditional linear RNA, circRNA is more stable and not easily degraded. Many studies have shown that circRNAs are involved in the regulation of various diseases and cancers. Determining the functions of circRNAs in mammalian cells is of great significance for revealing their mecha...

Topics

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

Identifiers and source

Literature Corpus work
4f9d866f-2cb9-50ae-b9bf-838ebcd6c88c
DOI
10.21203/rs.2.20476/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.
DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network featuresDOI 10.21203/rs.2.20476/v1
Select a neighboring publication to make it the new centre.