Tutorial I - Statistical Microarray Analysis

Mario Medvedovic, Ph.D., Assistant Professor, Cincinnati Children's Research Hospital
Location: Shriver Center
Monday 10:30 a.m. - 12:00 p.m.

The challenge of interpreting the vast amounts of data from microarrays and other high throughput technologies has led to the development of new statistical procedures and related computational tools. The deluge of new methods and related, mutually incompatible, software pieces make it difficult to choose the optimal strategy and software for performing
a comprehensive data analysis. In this tutorial we will demonstrate how to use R and Bioconductor to perform a complete microarray data analysis. R is an open source statistical computing environment rapidly becoming the platform of choice for research-oriented statisticians and bioinformaticians. The Bioconductor project is an open source open development software project for the analysis of genomic data. The Bioconductor packages represent by far the most comprehensive toolbox for managing, manipulating, processing and analyzing genomic data. This tutorial will offer a crash introduction in how to use several key Bioconductor packages to normalize microarray data, identify differentially expressed genes, cluster gene expression profiles and identify affected biological pathways.

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