'Yeast cell cycle data' diaporamas de présentation

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Cluster analysis ? Function

Cluster analysis ? Function. Places genes with similar expression patterns in groups. Sometimes genes of unknown function will be grouped with genes of known function. The functions that are known allow the investigator to hypothesize regarding the functions of genes not yet characterized.

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Principal Component Analysis (PCA) for Clustering Gene Expression Data

Principal Component Analysis (PCA) for Clustering Gene Expression Data. K. Y. Yeung and W. L. Ruzzo. Organization. Association of PCA and this paper Approach of this paper Data sets Clustering algorithms and similarity metrics Results and discussion. The Functions of PCA?.

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Microarray analysis

Microarray analysis. Golan Yona ( original version by David Lin ). What makes one cell different from another? liver vs. brain Cancerous vs. non-cancerous Treatment vs. control. There are about 100,000 genes in mammalian genome each cell expresses only ~15,000 of these genes

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