A wholly defined Agilent microarray spike-in dataset | Zendy

Qianqian Zhu | Zendy; Jeffrey C. Miecznikowski | Zendy; Marc S. Halfon | Zendy

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A wholly defined Agilent microarray spike-in dataset

Author(s) -

Qianqian Zhu,

Jeffrey C. Miecznikowski,

Marc S. Halfon

Publication year - 2011

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/btr135

Subject(s) - spike (software development) , computer science , dna microarray , r package , pattern recognition (psychology) , microarray analysis techniques , data mining , artificial intelligence , biology , gene , gene expression , genetics , software engineering , computational science

Spike-in datasets provide a valuable resource for assessing and comparing among competing microarray analysis strategies. Our previous wholly defined spike-in datasets, the Golden and Platinum Spikes, have provided insights for the analysis of Affymetrix GeneChips. However, a similar dataset, in which all cRNA identities and relative levels are known prospectively, has not been available for two-color platforms.

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