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Project Title – to be determined

Project Title – to be determined. Computational Biology Requires Inter-disciplinary Experts Microarrays Gene Expression Databases Clustering and Distance Metrics Hierarchical Clustering Methods K-means Clustering Method Euclidean Distance Correlation Distance Expression Profiler

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Project Title – to be determined

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  1. Project Title – to be determined Computational Biology Requires Inter-disciplinary Experts Microarrays Gene Expression Databases Clustering and Distance Metrics Hierarchical Clustering Methods K-means Clustering Method Euclidean Distance Correlation Distance Expression Profiler Define and execute experiments Analyze results Discuss Results of Different Clustering and Distance Methods Newcomb CS9633 Spring 2003

  2. Expression Profiler • Expression Profiler is a set of tools for analyzing gene expression data. • EPCLUST is a component of the Expression Profiler suite that provides visualization of results various clustering and distance metrics applied to gene-expression data. • Bioinformatics requires expertise in multiple disciplines. Web-based tools such as Expression Profiler narrow the divide between biomedical researchers and computer scientists. Newcomb CS9633 Spring 2003

  3. References Expression Profiler, http://ep.ebi.ac.uk/EP/, (accessed 13MAR03). Data Analysis, http://arabidopsis.info/prototype/analysis.html, (accessed 13MAR03). David S. Roos, “Bioinformatics—Trying to Swim in a Sea of Data”, Science Magazine, http://www.sciencemag.org/cgi/content/full/291/5507/1260, (accessed 13MAR03). MK Kerr, M. Martin, GA Churchill. “Analysis of Variance for Gene Expression Microarray Data”, Journal of Computational Biology, vol. 7, no. 6, Dec. 2000, pp. 819-837. Stanley Fields, “Proteomics in Genomeland”, Science Magazine, 291, 2001, pp. 1221-1224. Newcomb CS9633 Spring 2003

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