Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features

Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features

Abstract Background Autism spectrum disorders (ASD) refer to a range of neurodevelopmental conditions, which are genetically complex and heterogeneous with most of the genetic risk factors also found in the unaffected general population. Although all the currently known ASD risk genes code for prote...

Full description

Bibliographic Details
Main Authors: Jun Wang, Liangjiang Wang
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
ASD risk genes
lncRNAs
Candidate prioritization
Machine learning
Autoencoder
Online Access:http://link.springer.com/article/10.1186/s12859-020-03843-5

Internet

http://link.springer.com/article/10.1186/s12859-020-03843-5

Similar Items