2026-06-28T10:34:45Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/448982025-03-14T15:30:21Zcom_20.500.14352_14col_20.500.14352_15

GeneCodis: interpreting gene lists through enrichment analysis and integration of diverse biological information Nogales Cadenas, Rubén Carmona Saez, Pedro Vázquez, Miguel Vicente, César Yang, Xiaoyuan Tirado Fernández, José Francisco Carazo, José María Pascual Montano, Alberto © 2009 The Author(s) Spanish grants BIO2007-67150-C03-02, S-Gen-0166/2006, CYTED-505PI0058, TIN2005-5619 and PS-0100002008-1 and European Union Grant FP7-HEALTHF42008-202047. Funding for open access charge: Spanish Grant BIO2007-67150-C03-02. Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics. 2023-06-20T04:05:21Z 2023-06-20T04:05:21Z 2009-07-01 journal article 0305-1048 10.1093/nar/gkp416 https://hdl.handle.net/20.500.14352/44898 http://dx.doi.org/10.1093/nar/gkp416 http://nar.oxfordjournals.org/ eng FP7-HEALTHF4-2008 (2802047) BIO2007-67150-C03-02 S-Gen-0166/2006 CYTED-505PI0058 TIN2005-5619 PS-0100002008-1 https://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Oxford Univ Press