An interactive power analysis tool for microarray hypothesis testing and generation | Zendy

Jinwook Seo | Zendy; Heather GordishDressman | Zendy; Eric P. Hoffman | Zendy

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An interactive power analysis tool for microarray hypothesis testing and generation

Author(s) -

Jinwook Seo,

Heather GordishDressman,

Eric P. Hoffman

Publication year - 2006

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/btk052

Subject(s) - statistical power , computer science , power analysis , a priori and a posteriori , data mining , set (abstract data type) , statistical hypothesis testing , cluster analysis , filter (signal processing) , software , noise (video) , sample size determination , artificial intelligence , algorithm , statistics , mathematics , programming language , philosophy , epistemology , cryptography , image (mathematics) , computer vision

Human clinical projects typically require a priori statistical power analyses. Towards this end, we sought to build a flexible and interactive power analysis tool for microarray studies integrated into our public domain HCE 3.5 software package. We then sought to determine if probe set algorithms or organism type strongly influenced power analysis results.

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