PreLnc: An Accurate Tool for Predicting lncRNAs Based on Multiple Features.

ABSTRACT: Accumulating evidence indicates that long non-coding RNAs (lncRNAs) have certain similarities with messenger RNAs (mRNAs) and are associated with numerous important biological processes, thereby demanding methods to distinguish them. Based on machine learning algorithms, a variety of methods are developed to identify lncRNAs, providing significant basic data support for subsequent studies. However, many tools lack certain scalability, versatility and balance, and some tools rely on genome sequence and annotation. In this paper, we propose a convenient and accurate tool "PreLnc", which uses high-confidence lncRNA and mRNA transcripts to build prediction models through feature selection and classifiers. The false discovery rate (FDR) adjusted P-value and Z-value were used for analyzing the t

SUBMITTER: Cao L 

PROVIDER: S-EPMC7563287 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature