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PURVAC Visual Analytics for OMIC Data

Posted 13 Oct, 2008 in Series

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Abstract Visual Analytics for OMIC Data

A critical issue for the CCE project is how to rapidly evaluate and validate model predictions. We propose to develop an interactive, integrated, visual and statistical analysis capability 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 PURVAC Lab will be leveraged to develop this visual analytic environment for the communication of information and insight from these massive, disparate, incomplete, and time-evolving OMIC, treatment, and socio-economic data sets. The viusualization environment will be comprehensive, providing analytic capabilities that enable the entire process, from receiving massive raw data, to the integration and extraction of relevant data necessary for the cancer care analysis task, to the integrated visual presentation and analysis environment for evidence-based treatment planning and decision making.

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If you reference this work in a publication, please cite as follows:

  • (2008), "PURVAC Visual Analytics for OMIC Data," http://ccehub.org/resources/105.

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

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