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PubMed · 15268770

Integrated analysis of microarray data and gene function information.

Yan Cui·Mi Zhou·Wing Hung Wong
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Abstract

Microarray data should be interpreted in the context of existing biological knowledge. Here we present integrated analysis of microarray data and gene function classification data using homogeneity analysis. Homogeneity analysis is a graphical multivariate statistical method for analyzing categorical data. It converts categorical data into graphical display. By simultaneously quantifying the microarray-derived gene groups and gene function categories, it captures the complex relations between biological information derived from microarray data and the existing knowledge about the gene function. Thus, homogeneity analysis provides a mathematical framework for integrating the analysis of microarray data and the existing biological knowledge.

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AlgorithmsComputational BiologyGene Expression ProfilingModels, TheoreticalOligonucleotide Array Sequence AnalysisStatistics as TopicYeastsJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Yan Cui, Mi Zhou, Wing Hung Wong. 2004. Integrated analysis of microarray data and gene function information.. https://doi.org/10.1089/1536231041388320

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