A visual analysis system for metabolomics data

Philip Livengood, Ross Maciejewski, Wei Chen, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

When analyzing metabolomics data, cancer care researchers are searching for differences between known healthy samples and unhealthy samples. By analyzing and understanding these differences, researchers hope to identify cancer biomarkers. In this work we present a novel system that enables interactive comparative visualization and analysis of metabolomics data obtained by two-dimensional gas chromatography-mass spectrome-try (GCxGC-MS). Our system allows the user to produce, and interactively explore, visualizations of multiple GCxGC-MS data sets, thereby allowing a user to discover differences and features in real time. Our system provides statistical support in the form of mean and standard deviation calculations to aid users in identifying meaningful differences between sample groups. We combine these with multiform, linked visualizations in order to provide researchers with a powerful new tool for GCxGC-MS exploration and bio-marker discovery.

Original languageEnglish (US)
Title of host publicationIEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings
Pages71-78
Number of pages8
DOIs
StatePublished - 2011
Event1st IEEE Symposium on Biological Data Visualization, BioVis 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 24 2011

Other

Other1st IEEE Symposium on Biological Data Visualization, BioVis 2011
CountryUnited States
CityProvidence, RI
Period10/23/1110/24/11

Fingerprint

Metabolomics
Information Systems
Visualization
Research Personnel
Tumor Biomarkers
Gas chromatography
Gas Chromatography
Neoplasms

Keywords

  • GCXGC-MS
  • Metabolomics
  • TIC
  • visual analysis

ASJC Scopus subject areas

  • Biotechnology
  • Computer Vision and Pattern Recognition
  • Information Systems

Cite this

Livengood, P., Maciejewski, R., Chen, W., & Ebert, D. S. (2011). A visual analysis system for metabolomics data. In IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings (pp. 71-78). [6094050] https://doi.org/10.1109/BioVis.2011.6094050

A visual analysis system for metabolomics data. / Livengood, Philip; Maciejewski, Ross; Chen, Wei; Ebert, David S.

IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings. 2011. p. 71-78 6094050.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Livengood, P, Maciejewski, R, Chen, W & Ebert, DS 2011, A visual analysis system for metabolomics data. in IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings., 6094050, pp. 71-78, 1st IEEE Symposium on Biological Data Visualization, BioVis 2011, Providence, RI, United States, 10/23/11. https://doi.org/10.1109/BioVis.2011.6094050
Livengood P, Maciejewski R, Chen W, Ebert DS. A visual analysis system for metabolomics data. In IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings. 2011. p. 71-78. 6094050 https://doi.org/10.1109/BioVis.2011.6094050
Livengood, Philip ; Maciejewski, Ross ; Chen, Wei ; Ebert, David S. / A visual analysis system for metabolomics data. IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings. 2011. pp. 71-78
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