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Introductory Workshop August 20-24th for

  Multivariate Data Analysis and Visualization
                          Dmitry Grapov & John W. Newman




                                         •Get hands-on training with real-
                                         world data using freely available
                                         tools.

                                         •Learn how to strengthen your
                                         data management and sharing
                                         plan for grant proposals.

                               Register at:
                               http://www.cevs.ucdavis.edu/confreg/?confid=578
My experience with Multivariate Data




                  •Developed: targeted lipidomics platform

                  •Researched: obesity, type 2 diabetes,
                  atherosclerosis, hypertension, inflammation
                  and asthma

                  •Designed: open source multivariate data
                  analysis and visualization software
Methodology

 Hypotheses                         Results
                         Non-informative


                                      randomly
                                      informative


              Analysis               informative
Univariate Analysis

  Hypotheses             Biological Targets




               Samples
Multivariate Analysis

  Hypotheses             Biological Targets




               Samples
Perception:   Univariate




              Multivariate
Perspective:
   Univariate   Multivariate
Context:
                                  Multivariate




                                                                             Univariate

http://anna-lys.blogspot.com/2009/12/mute-monday-visual-perception-in.html
Multivariate Inference

 Hypotheses              Biological Targets?
Zen of Multivariate Data Analysis
                 Exploration



                               Correlation
   Modeling




                 Networking
Join us August 20-24th
                              Hands on Topics
                 •Data pre-treatment
                 •Outlier Detection
                 •Analysis of Correlations
                 •Unsupervised Exploration
                 •Multivariate Predictive Modeling
                 •Networks
                 •Feature Selection
                 •Dimensional reduction

                                  Resources
                     The R Project for Statistical Computing
                             http://www.r-project.org/


                      imDEV: interactive modules for Data
                         Exploration and Visualization
                  http://sourceforge.net/apps/mediawiki/imdev
                            email: dgrapov@ucdavis.edu
Acknowledgements

AgChem
Newman Lab


Designated Emphasis in
Biotechnology (DEB)


NIH

This project is funded in part by the NIH grant NIGMS-NIH T32-GM008799, USDA-ARS
5306-51530-019-00D, and NIH-NIDDK R01DK078328 -01.

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Multivariate Data analysis Workshop at UC Davis 2012

  • 1. Introductory Workshop August 20-24th for Multivariate Data Analysis and Visualization Dmitry Grapov & John W. Newman •Get hands-on training with real- world data using freely available tools. •Learn how to strengthen your data management and sharing plan for grant proposals. Register at: http://www.cevs.ucdavis.edu/confreg/?confid=578
  • 2. My experience with Multivariate Data •Developed: targeted lipidomics platform •Researched: obesity, type 2 diabetes, atherosclerosis, hypertension, inflammation and asthma •Designed: open source multivariate data analysis and visualization software
  • 3. Methodology Hypotheses Results Non-informative randomly informative Analysis informative
  • 4. Univariate Analysis Hypotheses Biological Targets Samples
  • 5. Multivariate Analysis Hypotheses Biological Targets Samples
  • 6. Perception: Univariate Multivariate
  • 7. Perspective: Univariate Multivariate
  • 8. Context: Multivariate Univariate http://anna-lys.blogspot.com/2009/12/mute-monday-visual-perception-in.html
  • 9. Multivariate Inference Hypotheses Biological Targets?
  • 10. Zen of Multivariate Data Analysis Exploration Correlation Modeling Networking
  • 11. Join us August 20-24th Hands on Topics •Data pre-treatment •Outlier Detection •Analysis of Correlations •Unsupervised Exploration •Multivariate Predictive Modeling •Networks •Feature Selection •Dimensional reduction Resources The R Project for Statistical Computing http://www.r-project.org/ imDEV: interactive modules for Data Exploration and Visualization http://sourceforge.net/apps/mediawiki/imdev email: dgrapov@ucdavis.edu
  • 12. Acknowledgements AgChem Newman Lab Designated Emphasis in Biotechnology (DEB) NIH This project is funded in part by the NIH grant NIGMS-NIH T32-GM008799, USDA-ARS 5306-51530-019-00D, and NIH-NIDDK R01DK078328 -01.