Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia

Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia

Abstract Background Aggregating gene expression data across experiments via meta-analysis is expected to increase the precision of the effect estimates and to increase the statistical power to detect a certain fold change. This study evaluates the potential benefit of using a meta-analysis approach...

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Bibliographic Details
Main Authors: Putri W. Novianti, Victor L. Jong, Kit C. B. Roes, Marinus J. C. Eijkemans
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Bioinformatics
Subjects:
Meta-analysis
Gene expression
Predictive modeling
Acute myeloid leukemia
Online Access:http://link.springer.com/article/10.1186/s12859-017-1619-7

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http://link.springer.com/article/10.1186/s12859-017-1619-7

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