MedVir: 3D visual interface applied to gene profile analysis

Gracia Berná, Antonio; González Tortosa, Santiago y Robles Forcada, Víctor (2012). MedVir: 3D visual interface applied to gene profile analysis. En: "2012 International Conference on High Performance Computing and Simulation (HPCS)", 02/07/2014 - 06/07/2014, Madrid. ISBN 978-1-4673-2359-8. pp. 693-695.

Descripción

Título: MedVir: 3D visual interface applied to gene profile analysis
Autor/es:
  • Gracia Berná, Antonio
  • González Tortosa, Santiago
  • Robles Forcada, Víctor
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2012 International Conference on High Performance Computing and Simulation (HPCS)
Fechas del Evento: 02/07/2014 - 06/07/2014
Lugar del Evento: Madrid
Título del Libro: International Conference on High Performance Computing and Simulation (HPCS), 2012
Fecha: 2 Julio 2012
ISBN: 978-1-4673-2359-8
Materias:
Palabras Clave Informales: DNA microarray,dimensionality reduction,manifold learning, visualization
Escuela: Centro de Supercomputación y Visualización de Madrid (CeSViMa) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The use of data mining techniques for the gene profile discovery of diseases, such as cancer, is becoming usual in many researches. These techniques do not usually analyze the relationships between genes in depth, depending on the different variety of manifestations of the disease (related to patients). This kind of analysis takes a considerable amount of time and is not always the focus of the research. However, it is crucial in order to generate personalized treatments to fight the disease. Thus, this research focuses on finding a mechanism for gene profile analysis to be used by the medical and biologist experts. Results: In this research, the MedVir framework is proposed. It is an intuitive mechanism based on the visualization of medical data such as gene profiles, patients, clinical data, etc. MedVir, which is based on an Evolutionary Optimization technique, is a Dimensionality Reduction (DR) approach that presents the data in a three dimensional space. Furthermore, thanks to Virtual Reality technology, MedVir allows the expert to interact with the data in order to tailor it to the experience and knowledge of the expert.

Más información

ID de Registro: 25931
Identificador DC: http://oa.upm.es/25931/
Identificador OAI: oai:oa.upm.es:25931
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6266996&tag=1
Depositado por: Memoria Investigacion
Depositado el: 21 Abr 2015 17:52
Ultima Modificación: 26 Abr 2015 08:13
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