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Image from Gene-Chips (Micorrrays) Statistics for microarray analysis (SMA)

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Presentation on theme: "Image from Gene-Chips (Micorrrays) Statistics for microarray analysis (SMA)"— Presentation transcript:

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3 Image from Gene-Chips (Micorrrays)

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5 Statistics for microarray analysis (SMA)
Method: Lowess Goal: adjust systematic bias Assumption: changes roughly symmetric at all intensities within the region considered

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8 Hierarchical clustering
Technically, Eisen uses average-link agglomerative hierarchical clustering. Similarity between genes is measured using a Pearson correlation coefficient. Where to download the software:

9 Why cluster? Place genes with similar expression profiles into clusters. What is the gene’s function? Place experiments / samples with similar expression profiles into clusters. What is the expression profile of a particular disease or phenotype?


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