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

Lev Klebanov, Andreas Scherer

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review


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.
Titel på värdpublikationBatch effects and Noise in Microarray Experiments: Sources and Solutions
Antal sidor7
ISBN (tryckt)978-0-470-74138-2
StatusPublicerad - 2009
Externt publiceradJa
MoE-publikationstypA3 Del av bok eller annan forskningsbok

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