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Towards a proteomics meta-classification

In IEEE Fourth Symposium on Bioinformatics and Bioengineering, Taichung, Taiwan. IEEE Press. pp. 419–427 (2004)

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  1. Dependence Relationships Between Gene Ontology Terms Based on TIGR Gene Product Annotations.Anand Kumar, Barry Smith & Christian Borgelt - 2004 - Proceedings of the 3rd International Workshop on Computational Terminology 2004:31-38.
    The Gene Ontology is an important tool for the representation and processing of information about gene products and functions. It provides controlled vocabularies for the designations of cellular components, molecular functions, and biological processes used in the annotation of genes and gene products. These constitute three separate ontologies, of cellular components), molecular functions and biological processes, respectively. The question we address here is: how are the terms in these three separate ontologies related to each other? We use statistical methods and (...)
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  • Oncology Ontology in the NCI Thesaurus.Anand Kumar & Barry Smith - 2005 - Artificial Intelligence in Medicine:213-220.
    The National Cancer Institute’s Thesaurus (NCIT) has been created with the goal of providing a controlled vocabulary which can be used by specialists in the various sub-domains of oncology. It is intended to be used for purposes of annotation in ways designed to ensure the integration of data and information deriving from these various sub-domains, and thus to support more powerful cross-domain inferences. In order to evaluate its suitability for this purpose, we examined the NCIT’s treatment of the kinds of (...)
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  • Bridging the Gap Between Medical and Bioinformatics: An Ontological Case Study in Colon Carcinoma.Anand Kumar, Yum Lina Yip, Barry Smith & Pierre Grenon - 2006 - Computers in Biology and Medicine 36 (7):694--711.
    Ontological principles are needed in order to bridge the gap between medical and biological information in a robust and computable fashion. This is essential in order to draw inferences across the levels of granularity which span medicine and biology, an example of which include the understanding of the roles of tumor markers in the development and progress of carcinoma. Such information integration is also important for the integration of genomics information with the information contained in the electronic patient records in (...)
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