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microPred: effective classification of pre-miRNAs for human miRNA gene prediction.

Abstract:

MOTIVATION: In this article, we show that the classification of human precursor microRNA (pre-miRNAs) hairpins from both genome pseudo hairpins and other non-coding RNAs (ncRNAs) is a common and essential requirement for both comparative and non-comparative computational recognition of human miRNA genes. However, the existing computational methods do not address this issue completely or successfully. Here we present the development of an effective classifier system (named as microPred) for t...

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Publication status:
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Authors


Batuwita, R More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
Journal:
Bioinformatics (Oxford, England)
Volume:
25
Issue:
8
Pages:
989-995
Publication date:
2009-04-05
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
URN:
uuid:46820479-d271-4e1c-bd41-191c0af361b7
Source identifiers:
259433
Local pid:
pubs:259433

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