Bioinformatics Lab

 

@

 

Machine Intelligence Unit, Indian Statistical Institute

Kolkata 700108

 

Web Server

1. AMOSA-TargetMiner: A novel multi objective optimization based miRNA-target prediction method

2. Link to PutMir 1.0

3. TargetMiner: microRNA target prediction tool

Prediction of microRNA (miRNA) target mRNAs using machine learning approaches is an important area of research. However, most of the methods suffer from either high false positive or false negative rates. One reason for this is the marked deficiency of negative examples or miRNA-non target pairs. Systematic identification of non-target mRNAs is still not addressed properly, and therefore, current machine learning approaches are compelled to rely on artificially generated negative examples for training.                                                                                                                                                                           ^....more
 
 

Ref: Sanghamitra Bandyopadhyay and Ramkrishna Mitra, Targetminer: MicroRNA Target Prediction with Systematic Identification Of Tissue Specific Negative Examples, Bioinformatics, 2009, doi: 10.1093/bioinformatics/btp503.