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Visual Analytics for Cancer Care Engineering

By David S. Ebert

Purdue University

Category Teaching Materials
Abstract image The Purdue University Regional Visualization and Analytics Center (PURVAC) presents a visual analytics tool for analyzing GCxGC TOF Mass Spectrometry data for metabolomics samples.
Contributor Ann Christine Catlin
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credits David Ebert, Professor of Electrical and Computer Engineering, Purdue Univerity
Wei Chen, Visiting Scholar, Electrical and Computer Engineering
Cite this work

Researchers should cite this work as follows:

  • David Ebert (2008), "Visual Analytics for Cancer Care Engineering," http://ccehub.org/resources/45.

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Tags
  1. biomarker discovery
  2. visual analytics