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MicroRNAs (miRNAs) have been found in diverse organisms and play critical role in gene expression regulations of many essential cellular processes. Discovery of miRNAs and identification of their target genes are fundamental to the study of such regulatory circuits. To distinguish the real pre-miRNA from other stem loop hairpins with similar stem loop (pseudo pre-miRNA) is an important task in molecular...
The cell defense mechanism of RNA interference has applications in gene function analysis and promising potentials in human disease therapy. To effectively silence a target gene, it is desirable to select appropriate initiator siRNA molecules having satisfactory silencing capabilities. Computational prediction for silencing efficacy of siRNAs can assist this screening process before using them in...
MicroRNAs (miRNAs) are small single stranded RNAs, on average 22nt long, generated from endogenous hairpin-shaped transcripts with post-transcriptional activity. Although many computational methods are currently available for identifying miRNA genes in the genomes of various species, very few algorithms can accurately predict the functional part of the miRNA gene, namely the mature miRNA. We introduce...
We designed a new SVM for microRNA identification, whose novelty consist in the fact that many of its features incorporate the base-pairing probabilities provided by McCaskill's algorithm. Comparisons with other SVMs for microRNA identification prove that our SVM obtains competitive results. One of the advantages of our approach is that it makes no use of so-called normalised features which are based...
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