title: Microarrays: statistical methods for circadian rhythms.
abstract: Microarrays are promising tools that are increasingly being applied to the study of circadian rhythms. The large and complex datasets they generate, however, mean they require a new approach on how to design experiments, handle datasets, translate results, and derive conclusions. This technology also requires statistical methods for the correct interpretation of data generated by the microarrays. In this chapter, we provide an overview of analytical methods applied to microarray experiments for the identification of genes with circadian expression.
authors.affiliation: Laboratory for Systems Biology, Center for Developmental Biology, RIKEN, Kobe, Hyogo, Japan.
authors.forename: Rikuhiro
authors.initials: R
authors.lastname: Yamada
authors.forename: Hiroki R
authors.initials: HR
authors.lastname: Ueda
mesh_terms: D000818:Animals; D002940:Circadian Rhythm / Q000235:genetics*; D003627:Data Interpretation, Statistical; D005583:Fourier Analysis; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*