MiRBoost: boosting support vector machines for microRNA precursor classification.

ABSTRACT: Identification of microRNAs (miRNAs) is an important step toward understanding post-transcriptional gene regulation and miRNA-related pathology. Difficulties in identifying miRNAs through experimental techniques combined with the huge amount of data from new sequencing technologies have made in silico discrimination of bona fide miRNA precursors from non-miRNA hairpin-like structures an important topic in bioinformatics. Among various techniques developed for this classification problem, machine learning approaches have proved to be the most promising. However these approaches require the use of training data, which is problematic due to an imbalance in the number of miRNAs (positive data) and non-miRNAs (negative data), which leads to a degradation of their performance. In order to addres

SUBMITTER: Tran Vdu T 

PROVIDER: S-EPMC4408786 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature