MultiMiTar: a novel multi objective optimization based miRNA-target prediction method.

ABSTRACT:

Background

Machine learning based miRNA-target prediction algorithms often fail to obtain a balanced prediction accuracy in terms of both sensitivity and specificity due to lack of the gold standard of negative examples, miRNA-targeting site context specific relevant features and efficient feature selection process. Moreover, all the sequence, structure and machine learning based algorithms are unable to distribute the true positive predictions preferentially at the top of the ranked list; hence the algorithms become unreliable to the biologists. In addition, these algorithms fail to obtain considerable combination of precision and recall for the target transcripts that are translationally repressed at protein level.

Methodology/principal finding

In the proposed article, we

SUBMITTER: Mitra R 

PROVIDER: S-EPMC3174180 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature