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Principal Component Analysis based Methodologies for Analyzing Time-Course Microarray Data

Sudhakar Jonnalagadda and Rajagopalan Srinivasan Dept. of Chemical and Biomolecular Engineering National University of Singapore. Principal Component Analysis based Methodologies for Analyzing Time-Course Microarray Data. PCA-based technique for Clustering genes Finding distinct clusters

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9 mouse genes homologues - PowerPoint PPT Presentation

Principal Component Analysis based Methodologies for Analyzing Time-Course Microarray Data