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Tutorial 7;Gene expression analysis;Gene expression data sources;How to interpret an expression data matrix;How to interpret an expression data matrix;How to interpret an expression data matrix;Exp;8;9;10;11;GEO accession IDs;Download dataset;Clustering analysis;Clustering analysis – zoom in;16;17;Viewing the expression levels;19;20;Clustering;Clustering;Unsupervised Clustering;This clustering method is based on distances between expression profiles of different genes. Genes with similar expression patterns are grouped together.;25;How to determine the similarity between two genes?
;27;28;Hierarchical clustering results;An algorithm to classify the data into K number of groups.
;How does it work?;32;33;;;36;37;38;;Graphical representation of the cluster;10 clusters, as requested;Now that we have clusters – we want to know what is the function of each group.
There is a need for some kind of generalization for gene functions. ;Gene Ontology (GO);44;The GO tree;GO sources;DAVID?;ID conversion;Functional annotation;;52;Gene expression analysis
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