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bioNMF: a web-based tool for nonnegative matrix factorization in biology Mejia Roa, E. Carmona Saez, P. Nogales, R. Vicente, C. Vázquez, M. Yang, X. Y. García, C. Tirado Fernández, José Francisco Pascual Montano, Alberto 004 Gene-expression data Tensor factorization Discovery Identification Algorithms. Informática (Informática) 1203.17 Informática © 2008 The Author(s). This work has been partially funded by the Spanish grants BIO2007-67150-C03-02, S-Gen-0166/2006, CYTED-505 PI0058, CSD00C-07-20811 and TIN2005-5619. E.M.R. is supported by the grant FPU from the Spanish Ministry of Education. A.P.M. acknowledges the support of the Spanish Ramón y Cajal program. Funding to pay the Open Access publication charges for this article was provided by 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. FPU from the Spanish Ministry of Education Spanish Ramón y Cajal Sección Deptal. de Arquitectura de Computadores y Automática (Físicas) Fac. de Ciencias Físicas TRUE pub 2023-06-20T11:11:04Z 2023-06-20T11:11:04Z 2008-07 journal article https://hdl.handle.net/20.500.14352/51805 0305-1048 10.1093/nar/gkn335 eng BIO2007-67150-C03-02 S-Gen-0166/2006 CYTED-505 PI0058 CSD00C-07-20811 TIN2005-5619 BIO2007-67150-C03-02 Atribución-NoComercial 3.0 España https://creativecommons.org/licenses/by-nc/3.0/es/ open access application/pdf Oxford University Press