CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.

ABSTRACT:

Background

Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of cancer. Although some computational methods have been proposed to identify cancer-related lncRNAs, there is still a demanding to improve the prediction accuracy and efficiency. In addition, the quick-update data of cancer, as well as the discovery of new mechanism, also underlay the possibility of improvement of cancer-related lncRNA prediction algorithm. In this study, we introduced CRlncRC, a novel Cancer-Related lncRNA Classifier by integrating manifold features with five machine-learning techniques.

Results

CRlncRC was built on the integration of genomic, expression, epigenetic and network, totally in four categories of features. Five learning techniques were exploited to de

SUBMITTER: Zhang X 

PROVIDER: S-EPMC6311943 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature