Literature DB >> 12603062

Linking molecular imaging terminology to the gene ontology (GO).

P K Tulipano1, W S Millar, J J Cimino.   

Abstract

The rapidly developing domain of molecular imaging represents the merging of current advances in the fields of molecular biology and imaging research. Despite this merger, an information gap continues to exist between the scientists who discover new gene products and the imaging scientists who can exploit this information. The Gene Ontology (GO) Consortium seeks to provide a set of structured terminologies for the conceptual annotation of gene product function, process and location in databases. However, no such structured set of concept-oriented terminology exists for the molecular imaging domain. Since the purpose of GO is to capture the information about the role of gene products, we propose that the mapping of GO's established ontological concepts to a molecular imaging terminology will provide the necessary bridge to fill the information gap between the two fields. We have extracted terms and definitions from an already published molecular imaging glossary as well as molecular imaging research articles, and developed molecular imaging concepts. We then mapped our molecular imaging concepts to the existing gene ontology concepts as a method to comprehensively represent molecular imaging.

Mesh:

Year:  2003        PMID: 12603062     DOI: 10.1142/9789812776303_0057

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  4 in total

1.  Towards answering biological questions with experimental evidence: automatically identifying text that summarize image content in full-text articles.

Authors:  Hong Yu
Journal:  AMIA Annu Symp Proc       Date:  2006

Review 2.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

Review 3.  Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.

Authors:  Andrew J Buckler; Tiffany Ting Liu; Erica Savig; Baris E Suzek; M Ouellette; J Danagoulian; G Wernsing; Daniel L Rubin; David Paik
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

4.  12 Survival-related differentially expressed genes based on the TARGET-osteosarcoma database.

Authors:  Emel Rothzerg; Jiake Xu; David Wood; Sulev Kõks
Journal:  Exp Biol Med (Maywood)       Date:  2021-04-29
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.