Analysis of whole-genome microarray replicates using mixed models | Zendy

Lorenz Wernisch | Zendy; Sharon L. Kendall | Zendy; Shamit Soneji | Zendy; Andreas Wietzorrek | Zendy; Tanya Parish | Zendy; Jason Hinds | Zendy; Philip D. Butcher | Zendy; Neil G. Stoker | Zendy

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Analysis of whole-genome microarray replicates using mixed models

Author(s) -

Lorenz Wernisch,

Sharon L. Kendall,

Shamit Soneji,

Andreas Wietzorrek,

Tanya Parish,

Jason Hinds,

Philip D. Butcher,

Neil G. Stoker

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/19.1.53

Subject(s) - replicate , replication (statistics) , bootstrapping (finance) , microarray analysis techniques , computational biology , bioconductor , data mining , computer science , gene chip analysis , raw data , gene , biology , microarray , genetics , statistics , mathematics , gene expression , econometrics

Microarray experiments are inherently noisy. Replication is the key to estimating realistic fold-changes despite such noise. In the analysis of the various sources of noise the dependency structure of the replication needs to be taken into account.

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