Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data

Technical variation plays an important role in microarray-based gene expression studies, and batch effects explain a large proportion of this noise. It is therefore mandatory to eliminate technical variation while maintaining biological variability. Several strategies have been proposed for the remo...

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Veröffentlicht in:	PloS one Jg. 11; H. 6; S. e0156594
Hauptverfasser:	Müller, Christian, Schillert, Arne, Röthemeier, Caroline, Trégouët, David-Alexandre, Proust, Carole, Binder, Harald, Pfeiffer, Norbert, Beutel, Manfred, Lackner, Karl J., Schnabel, Renate B., Tiret, Laurence, Wild, Philipp S., Blankenberg, Stefan, Zeller, Tanja, Ziegler, Andreas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 07.06.2016 Public Library of Science (PLoS)
Schlagworte:	Adult Aged Bioinformatics Biological effects Biology and Life Sciences Biometrics Body mass Body mass index Body size Cardiology DNA microarrays Female Gene expression Gene Expression Profiling - methods Genomics Heart Human health and pathology Humans Laboratories Life Sciences Longitudinal Studies Male Middle Aged Monocytes Monocytes - chemistry Nonlinear Dynamics Nutrition Oligonucleotide Array Sequence Analysis - methods Physical Sciences Physiological aspects Preventive medicine Principal Component Analysis Principal components analysis Prospective Studies Regression analysis Research and analysis methods Sampling methods Studies Variability Variation Germany France
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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