Multivariate Data analysis Workshop at UC Davis 2012
12
Introductory Workshop August 20-24 th 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/
-
Upload
dmitry-grapov -
Category
Education
-
view
885 -
download
8
description
Introductory Workshop for Multivariate Data Analysis and Visualization Dmitry Grapov1,2,3*, John W Newman1,2 1 Nutrition, University of California Davis, Davis, CA, 2 USDA/ARS Western Human Nutrition Research Center, Davis, CA 3 Designated Emphasis in Biotechnology, University of California Davis, Davis, CA, Next generation “omics” tools are harbingers of the golden age of biology. Biologists are on the cusp of breaking through the veil of complexity surrounding the emergent properties of complex biological systems. However these same rapid technological advances are also transforming the study of biology into a data intensive science. The ever growing gap between data and theory necessitates that biologists become familiar with multivariate computational and visualization methods in order to fully understand their experimental results. We are offering a summer workshop covering introductory concepts and applications of multivariate data analysis (MDA) and visualization techniques. Join us for a week to familiarize yourself with concepts in MDA covering topics in: multiple hypothesis testing, exploratory projection pursuits, multivariate classification and regression modeling, networks and machine learning. Get experience with MDA through hands-on analyses of real-world data using freely available tools. Learn how to make the most of your time and experimental results by quickly understanding your data’s complexity, main features and inter-relationships.
Transcript of Multivariate Data analysis Workshop at UC Davis 2012
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
ResultsHypothesesNon-informative
randomly informative
informativeAnalysis
Univariate Analysis
Biological TargetsHypotheses
Samples
Multivariate Analysis
Biological TargetsHypotheses
Samples
Perception:Univariate
Multivariate
Perspective:Univariate Multivariate
http://anna-lys.blogspot.com/2009/12/mute-monday-visual-perception-in.html
Context:
Univariate
Multivariate
Multivariate Inference
Biological Targets?Hypotheses
Zen of Multivariate Data Analysis
Modeling
Exploration
Correlation
Networking
Join us August 20-24thHands 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: [email protected]
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.
