- -

Automated Brain Tumor biopsy prediction using single-labeling cDNA Microarrays-based gene expression profiling

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Automated Brain Tumor biopsy prediction using single-labeling cDNA Microarrays-based gene expression profiling

Show full item record

Castells, X.; Garcia-Gomez, JM.; Navarro, A.; Acebes, JJ.; Godino, Ó.; Boluda, S.; Barceló, A.... (2009). Automated Brain Tumor biopsy prediction using single-labeling cDNA Microarrays-based gene expression profiling. Diagnostic Molecular Pathology. 18(4):206-218. https://doi.org/10.1097/PDM.0b013e31818f071b

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/152175

Files in this item

Item Metadata

Title: Automated Brain Tumor biopsy prediction using single-labeling cDNA Microarrays-based gene expression profiling
Author: Castells, Xavier Garcia-Gomez, Juan M Navarro, Alfredo Acebes, Juan José Godino, Óscar Boluda, Susana Barceló, Anna Robles, Montserrat Ariño, Joaquín Arús, Carles
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Aims: Gene signatures obtained from microarray experiments may be of use to improve the prediction of brain tumor diagnosis. Nevertheless, automated and objective prediction with accuracy comparable to or better than ...[+]
Subjects: Automated , Brain tumor , CDNA microarrays
Copyrigths: Cerrado
Source:
Diagnostic Molecular Pathology. (issn: 10529551 )
DOI: 10.1097/PDM.0b013e31818f071b
Publisher:
Lippincott Williams & Wilkins
Publisher version: https://doi.org/10.1097/PDM.0b013e31818f071b
Project ID:
EC/FP6-2002-LIFESCIHEALTH 503094
EC/IST-2004-27214
MEC/SAF2005-03650
UPV/PAID-00-06
Thanks:
Supported in part by grants from the European Commission (FP6-2002-LIFESCIHEALTH 503094 and IST-2004-27214), the research project MEDIVO2 (MEC, SAF2005-03650), and the Programa de Apoyo a la lnvestigacion y Desarrollo ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record