Toward Integration of Biological Noise: Aggregation Effect in Microarray Data Analysis

Lev Klebanov; Andreas Scherer

Toward Integration of Biological Noise: Aggregation Effect in Microarray Data Analysis

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Sammanfattning

Aggregation effect in microarray data analysis distorts the correlations between gene expression levels and, in some sense, plays a role of technical noise. This aspect is especially important in network and association inference analyses. However, it is possible to construct statistical estimators which take aggregation into account to generate ‘clean’ covariance of expression levels. Based on this estimator, we provide a method to findgene pairs having essentially different correlation structure.

Originalspråk	engelska
Titel på värdpublikation	Batch effects and Noise in Microarray Experiments: Sources and Solutions
Antal sidor	7
Förlag	Wiley
Utgivningsdatum	2009
Sidor	183-190
ISBN (tryckt)	978-0-470-74138-2
Status	Publicerad - 2009
Externt publicerad	Ja
MoE-publikationstyp	A3 Del av bok eller annan forskningsbok

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