Document Detail


Identification of differentially expressed genes in microarray data in a principal component space.
MedLine Citation:
PMID:  23539565     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Microarray experiments are often conducted in order to compare gene expression between two conditions. Tests to detected mean differential expression of genes between conditions are conducted applying correction for multiple testing. Seldom, relationships between gene expression and microarray conditions are investigated in a multivariate approach. Here we propose determining the relationship between genes and conditions using a Principal Component Analysis (PCA) space and classifying genes to one of two biological conditions based on their position relative to a direction on the PC space representing each condition.
Authors:
Luis Ospina; Liliana López-Kleine
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-19
Journal Detail:
Title:  SpringerPlus     Volume:  2     ISSN:  2193-1801     ISO Abbreviation:  Springerplus     Publication Date:  2013 Dec 
Date Detail:
Created Date:  2013-3-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101597967     Medline TA:  Springerplus     Country:  -    
Other Details:
Languages:  ENG     Pagination:  60     Citation Subset:  -    
Affiliation:
Departamento de Estadística, Universidad Nacional de Colombia, Ciudad Universitaria carrera 30 con calle 45, edificio 404, Bogotá, Colombia.
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