Graphs and EDA in Computational Biology
Robert Gentleman, (Dept. of Biostatistics, Harvard), email@example.com
Graphs provide a unique data structure for exploring biological data. There are many different graphs that can be constructed based on biologic data. These include metabolic pathways, protein-protein interactions as well as co-citation of genes in the scientific literature. In this talk I will consider various methods of using graphs and their properties to perform exploratory data analysis (EDA) on data from a microarray experiment using different graphs based on biological meta-data.