Microarray GEO – Microarray sets database EPClust – Microarray data analysis
Microarray Data Matrix Input Methods Unsupervised Clustering Hierarchical clustering Partition methods
Microarray Data Matrix Each column represents all the gene expression levels from a single experiment. Each row represents the expression of a gene across all experiments.
Microarray Data Matrix Each element is a log ratio: log2 (T/R), where T is the gene expression level in the testing sample, R is the gene expression level in the reference sample
Microarray Data Matrix
Different representations Microarray Data: Different representations Log ratio Log ratio Exp Exp
Microarray Data: Clusters
Microarray Data: Clustering Hierarchical Clustering :genes with similar expression patterns are grouped together and are connected by a series of branches (dendrogram).
How to determine the similarity between two genes?
How to determine the similarity between two clusters?
How to determine the similarity between two clusters?
How to determine the similarity between two clusters?
Hierarchical clustering result
Microarray Data: Clustering K-mean clustering is an algorithm to classify The data into K number of groups. http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/AppletKM.html
Microarray Data: Clustering K-mean clustering is an algorithm to classify The data into K number of groups.
Microarray Data: Clustering K-mean clustering is an algorithm to classify The data into K number of groups.
Expression profiles by gene Like Series,but further curated and suitable for analysis with GEO tools Expression profiles by gene Probe sets *further curated= statistically comparable datasets Microarray experiments Groups of related microarray experiments http://www.ncbi.nlm.nih.gov/geo/
Platform: Affymetrix GeneChip Human Genome Samples: 11 psoriasis patients
Download dataset Clustering Statistic analysis
Searching for expression profiles in the Human Genome browser.
Keratine 10 is highly expressed in skin
Transpose,Normalize,Randomize
Samples found in cluster Graphical representation of the cluster Graphical representation of the cluster
Initial seeds Final seeds 10 clusters