Document Detail


Biomarkers discovery in medical genomics data.
MedLine Citation:
PMID:  21431573     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
This chapter presents a system, called DiscoCini, assisting the biology experts to explore medical genomics data. First, it computes all the correlations (based on ranks) between gene expression and bioclinical data. The amount of generated results is huge. In a second step, we propose an original visual approach to simply and efficiently explore these results. Thanks to sets of data generated during experiments in the field of the obesities genomics, we show how DiscoClini allows easily identification of complex disease biomarkers.
Authors:
A Benis; M Courtine
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Advances in experimental medicine and biology     Volume:  696     ISSN:  0065-2598     ISO Abbreviation:  Adv. Exp. Med. Biol.     Publication Date:  2011  
Date Detail:
Created Date:  2011-03-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0121103     Medline TA:  Adv Exp Med Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  327-34     Citation Subset:  IM    
Affiliation:
LIM&Bio - Laboratoire d'Informatique Médicale et de Bioinformatique - E.A.3969, Université Paris Nord, 74 rue Marcel Cachin, 93017 Bobigny, Cedex, France, benis.arriel@gmail.com.
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