is a machine learning algorithm based on SVM (support vector
machine) that serves as a post-processing filter for the
miRNA:target duplexes predicted by softwares such For an input
duplex, MiRTif outputs an SVM score indicating whether the input
is likely to be a positive interaction. The SVM is trained with
validated positive and negative miRNA:target interactions,
obtained from TarBase These interactions possess the well-
accepted miRNA:target binding properties such as strong seed
complementarity and high binding energy, and are believed to be
authentic. Therefore, MiRTif is only applicable to interactions
obtained from other prediction software. Users have two options
to predict a miRNA:target interaction. You can input duplexes
one at a time or upload a text file containing the list of the
duplexes. It takes a few seconds to process a duplex in general.
Nevertheless querying a long list of duplexes may require some
time, the results can be emailed to you when finished.
manuscript in preparation Selected i