Title | Statistical considerations for analysis of microarray experiments. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Owzar, Kouros, William T. Barry, and Sin-Ho Jung |
Journal | Clin Transl Sci |
Volume | 4 |
Issue | 6 |
Pagination | 466-77 |
Date Published | 2011 Dec |
ISSN | 1752-8062 |
Keywords | Algorithms, Clinical Trials as Topic, Computational Biology, Gene Expression Profiling, Gene Expression Regulation, Leukemic, Gene Expression Regulation, Neoplastic, Genetic Markers, Humans, Leukemia, Lung Neoplasms, Models, Statistical, Oligonucleotide Array Sequence Analysis, Phenotype, Prognosis, Software |
Abstract | Microarray technologies enable the simultaneous interrogation of expressions from thousands of genes from a biospecimen sample taken from a patient. This large set of expressions generates a genetic profile of the patient that may be used to identify potential prognostic or predictive genes or genetic models for clinical outcomes. The aim of this article is to provide a broad overview of some of the major statistical considerations for the design and analysis of microarrays experiments conducted as correlative science studies to clinical trials. An emphasis will be placed on how the lack of understanding and improper use of statistical concepts and methods will lead to noise discovery and misinterpretation of experimental results. |
DOI | 10.1111/j.1752-8062.2011.00309.x |
Alternate Journal | Clin Transl Sci |
Original Publication | Statistical considerations for analysis of microarray experiments. |
PubMed ID | 22212230 |
PubMed Central ID | PMC3906917 |
Grant List | UL1 RR024128 / RR / NCRR NIH HHS / United States U19 AI067798 / AI / NIAID NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States RR024128 / RR / NCRR NIH HHS / United States CA142538 / CA / NCI NIH HHS / United States |
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