StackCirRNAPred: computational classification of long circRNA from other lncRNA based on stacking strategy.

ABSTRACT:

Background

CircRNAs are essential for the regulation of post-transcriptional gene expression, including as miRNA sponges, and play an important role in disease development. Some computational tools have been proposed recently to predict circRNA, since only one classifier is used, there is still much that can be done to improve the performance.

Results

StackCirRNAPred was proposed, the computational classification of long circRNA from other lncRNA based on stacking strategy. In order to cope with the potential problem that a single feature might not be able to distinguish circRNA well from other lncRNA, we first extracted features from different sources, including nucleic acid composition, sequence spatial features and physicochemical properties, Alu and tandem repeats. We in

SUBMITTER: Wang X 

PROVIDER: S-EPMC9793644 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature