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Ontology for MicroRNA Target prediction in human cancer

Published: 02 August 2010 Publication History

Abstract

The identification and characterization of important roles microRNAs (miRNAs) played in human cancer is an increasingly active area in medical informatics, and the prediction of miRNA target genes remains a challenging task to cancer researchers. We propose an innovative computing framework based on the Ontology for MicroRNA Target (OMIT) to facilitate knowledge acquisition from existing sources. The project 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.

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Cited By

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  • (2020)Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologiesBMC Medical Informatics and Decision Making10.1186/s12911-020-01336-220:S10Online publication date: 15-Dec-2020
  • (2015)A New Ontology-Based Method for Functional Composed Comparison of MicroRNAsProceedings of the 2015 IEEE 28th International Symposium on Computer-Based Medical Systems10.1109/CBMS.2015.55(258-263)Online publication date: 22-Jun-2015
  • (2014)OMIT: Dynamic, Semi-Automated Ontology Development for the microRNA DomainPLoS ONE10.1371/journal.pone.01008559:7(e100855)Online publication date: 15-Jul-2014
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  1. Ontology for MicroRNA Target prediction in human cancer

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    cover image ACM Conferences
    BCB '10: Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
    August 2010
    705 pages
    ISBN:9781450304382
    DOI:10.1145/1854776
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 02 August 2010

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    Author Tags

    1. MicroRNA target prediction
    2. bioinformatics
    3. biological computing
    4. computational biology
    5. human cancer
    6. ontology
    7. semantic annotation
    8. semantic integration

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    View all
    • (2020)Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologiesBMC Medical Informatics and Decision Making10.1186/s12911-020-01336-220:S10Online publication date: 15-Dec-2020
    • (2015)A New Ontology-Based Method for Functional Composed Comparison of MicroRNAsProceedings of the 2015 IEEE 28th International Symposium on Computer-Based Medical Systems10.1109/CBMS.2015.55(258-263)Online publication date: 22-Jun-2015
    • (2014)OMIT: Dynamic, Semi-Automated Ontology Development for the microRNA DomainPLoS ONE10.1371/journal.pone.01008559:7(e100855)Online publication date: 15-Jul-2014
    • (2010)Ontology-based knowledge acquisition for neuromotor functional recovery in stroke2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)10.1109/BIBMW.2010.5703839(424-429)Online publication date: Dec-2010

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