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Visual Analytics for GCxGC-MS Data

Posted 13 Oct, 2008 in Series

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Contributor(s) David Ebert
Purdue University

Ross Maciejewski
Abstract

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 approach harnesses the power of traditional analysis and data mining techniques, as well as the power of the human visual system for instantly detecting patterns, trends and clusters, and the increased performance of human reasoning through the use of external cognitive artifacts.

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Current efforts in the

  • David Ebert; Ross Maciejewski (2008), "Visual Analytics for GCxGC-MS Data," http://ccehub.org/resources/105.

    BibTex | EndNote

    • Tags
    1. biomarker discovery
    2. colorectal cancer
    3. OMIC analysis
    4. visual analytics

    In This Series

    1. OMIC Explorer

      0.0 out of 5 stars 

      16 Mar. 2009 | Tools | Contributor(s): Philip Livengood

      Visual exploration of GCxGC MS Data

    2. Syndromic Surveillance Hypothesis Development Using Visual Analytics

      0.0 out of 5 stars 

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

    3. Visual Analytics for Cancer Care Engineering

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

    4. CCE Retreat 2008 Part III

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      28 Aug. 2008 | Online Presentations | Contributor(s): Ann Christine Catlin, David 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, Professor of …

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