OMIT: Domain ontology and knowledge acquisition in microRNA target prediction (short paper)
Refereed conference paper presented and published in conference proceedings

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AbstractThe identification and characterization of important roles microRNAs (miRNAs) played in human cancer is an increasingly active area in medical informatics. In particular, the prediction of miRNA target genes remains a challenging task to cancer researchers. Current efforts have focused on manual knowledge acquisition from existing miRNA databases, which is time-consuming, error-prone, and subject to biologists' limited prior knowledge. Therefore, an effective knowledge acquisition has been inhibited. We propose a computing framework based on the Ontology for MicroRNA Target Prediction (OMIT), the very first ontology in miRNA domain. With such formal knowledge representation, it is thus possible to facilitate knowledge discovery and sharing from existing sources. Consequently, the framework aims to assist biologists in unraveling important roles of miRNAs in human cancer, and thus to help clinicians in making sound decisions when treating cancer patients. © 2010 Springer-Verlag.
All Author(s) ListTownsend C., Huang J., Dou D., Dalvi S., Hayes P.J., He L., Lin W.-C., Liu H., Rudnick R., Shah H., Sun H., Wang X., Tan M.
Name of Conference9th Confederated International Conferences on On the Move to Meaningful Internet Systems, OTM 2010: CoopIS 2010, IS 2010, DOA 2010 and ODBASE 2010
Start Date of Conference25/01/2010
End Date of Conference29/01/2010
Place of ConferenceCrete
Country/Region of ConferenceGreece
Detailed descriptionorganized by Distributed Objects and Applications Institute (DOAI),
Volume Number6427 LNCS
Issue NumberPART 2
PublisherSpringer Verlag
Place of PublicationGermany
Pages1160 - 1167
LanguagesEnglish-United Kingdom

Last updated on 2021-18-09 at 23:38