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Principal Component Analysis (PCA) for Clustering Gene Expression Data

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. Outline. Motivation of PCA and this paper Approach of this paper Data sets Clustering algorithms and similarity metrics Results and discussion. Why Are We Interested in PCA?.

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536 views • 33 slides
Principal Component Analysis (PCA) for Clustering Gene Expression Data

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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508 views • 33 slides
Association Analysis Techniques for Bioinformatics Problems

Association Analysis Techniques for Bioinformatics Problems

Association Analysis Techniques for Bioinformatics Problems. Vipin Kumar University of Minnesota kumar@cs.umn.edu www.cs.umn.edu/~kumar Group members: Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael Steinbach www.cs.umn.edu/~kumar/dmbio.

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356 views • 32 slides
Overview IST-2001-38344

Overview IST-2001-38344

Overview IST-2001-38344. Cells are a collection of protein nanomachines. A biological challenge. To build models of protein complexes & understand the function of each component, based upon available evidence.

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313 views • 19 slides
Overview IST-2001-38344

Overview IST-2001-38344

Overview IST-2001-38344. Cells are a collection of protein nanomachines. A biological challenge. To build models of protein complexes & understand the function of each component, based upon available evidence.

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260 views • 19 slides
Overview IST-2001-38344

Overview IST-2001-38344

Overview IST-2001-38344. Cells are a collection of protein nanomachines. A biological challenge. To build models of protein complexes & understand the function of each component, based upon available evidence.

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247 views • 13 slides

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