Identification of differentially expressed genes by means of outlier detection

Identification of differentially expressed genes by means of outlier detection

Abstract Background An important issue in microarray data is to select, from thousands of genes, a small number of informative differentially expressed (DE) genes which may be key elements for a disease. If each gene is analyzed individually, there is a big number of hypotheses to test and a multipl...

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Bibliographic Details
Main Authors: Itziar Irigoien, Concepción Arenas
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Differentially expressed gene
Multivariate statistics
Outlier
Quantile
Online Access:http://link.springer.com/article/10.1186/s12859-018-2318-8

Internet

http://link.springer.com/article/10.1186/s12859-018-2318-8

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