1. Visual Exploration of GCxGC-MS Data

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   04 Feb 2010 | Tools | Contributor(s): Avin Pattath, David S. Ebert, Ann Christine Catlin

   Interactive visual analysis and exploration of GCxGC-MS data to identify potential biomarkes for disease susceptibility, treatment response and utlimate treatment outcome

2. Visual Analytics for GCxGC-MS Data

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   13 Oct 2008 | Series | Contributor(s): David S. Ebert, Ross Maciejewski

   Visual Analytics for OMIC Data A critical issue for the CCE project is how to rapidly evaluate and validate model predictions. An interactive, integrated, visual and statistical analysis capability was developed that will serve as a model for future CCE projects. An interactive visual analytic …

3. Syndromic Surveillance Hypothesis Development Using Visual Analytics

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   09 Sep 2008 | Downloads | Contributor(s): Ross Maciejewski, David S. Ebert

   When analyzing syndromic surveillance data, health care officials look for areas with unusually high cases of syndromes. Unfortunately, many outbreaks are difficult to detect because their signal is obscured by the statistical noise. Consequently, many detection algorithms have a high false …

4. Visual Analytics for Cancer Care Engineering

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   29 Aug 2008 | Teaching Materials | Contributor(s): David S. Ebert

   The Purdue University Regional Visualization and Analytics Center (PURVAC) presents a visual analytics tool for analyzing GCxGC TOF Mass Spectrometry data for metabolomics samples.

5. CCE Retreat 2008 Part III

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   28 Aug 2008 | Online Presentations | Contributor(s): Ann Christine Catlin, David S. Ebert

   Cancer Care Engineering Retreat Video Part III. (one hour) The following presentations are included in the video: Stan Hamilton, MD. Professor of Pathology. MD Anderson Cancer Care Center. (continued) Advances in Colorectal Cancer Biomarker Discovery. (00:00-7:35) David Ebert, …

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