DocumentCode :
3084304
Title :
Unlocking the complexity of genomic data of RMS patients through visual analytics
Author :
Quang Vinh Nguyen ; Alzamora, Patricio ; Ho, N. ; Mao Lin Huang ; Simoff, Simeon ; Catchpoole, Daniel
Author_Institution :
Sch. of Comput., Eng. & Math., Univ. of Western Sydney, Sydney, NSW, Australia
fYear :
2012
fDate :
17-18 Dec. 2012
Firstpage :
134
Lastpage :
139
Abstract :
This paper presents a novel visual analytics technique that enables effective analysis of large and complex genomic and biomedical data. A comprehensive prototype has been developed to support the analysis process The system consists of multiple components, including an automated gene selection, a three-dimensional visualization for analyzing patient´s relationship, and an interactive Heatmap visualization. These visualizations provide not only the meaningful and easy interpretable views to medical analysts, but also a user-centric adjustment in the analytical reasoning (feature selection) phase of the model through visual interaction. Therefore, the results of analytic reasoning can be adjusted accurately through human involvement. We demonstrate our techniques on a case study of a dataset of Rhabdomyosarcoma (RMS) patients which is the most common soft tissue childhood sarcoma. Two major histological subtypes of RMS are Alveolar (ARMS) and Embryonal (ERMS) with ERMS patients having a more positive prognosis. This study aims to discover genes from the gene expression microarray dataset that can differentiate between ERMS and ARMS patients.
Keywords :
data visualisation; genomics; medical computing; ARMS; ERMS; RMS patients; Rhabdomyosarcoma patients; alveolar RMS; automated gene selection; biomedical data; embryonal RMS; gene expression microarray dataset; genomic data; interactive heatmap visualization; novel visual analytics technique; soft tissue childhood sarcoma; three-dimensional visualization; Bioinformatics; Data visualization; Gene expression; Heating; Image color analysis; Visual analytics; Gene Selection; Heatmap; Medical Data Visualization; Microarray Data; Rhabdomyosarcoma; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computerized Healthcare (ICCH), 2012 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5127-0
Type :
conf
DOI :
10.1109/ICCH.2012.6724484
Filename :
6724484
Link To Document :
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