<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-01T02:24:08Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/51816" metadataPrefix="oai_dc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/51816</identifier><datestamp>2024-08-30T17:37:03Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>bioNMF: a versatile tool for non-negative matrix factorization in biology</dc:title>
   <dc:creator>Pascual Montano, Alberto</dc:creator>
   <dc:creator>Carmona Saez, Pedro</dc:creator>
   <dc:creator>Chagoyen, Mónica</dc:creator>
   <dc:creator>Tirado Fernández, José Francisco</dc:creator>
   <dc:creator>Carazo, José M.</dc:creator>
   <dc:creator>Pascual Marqui, Roberto. D.</dc:creator>
   <dc:subject>004</dc:subject>
   <dc:subject>Gene expression data</dc:subject>
   <dc:subject>Independent component analysis</dc:subject>
   <dc:subject>Microarray data</dc:subject>
   <dc:subject>Class discovery</dc:subject>
   <dc:subject>Profiles</dc:subject>
   <dc:subject>Identification</dc:subject>
   <dc:subject>Algorithms</dc:subject>
   <dc:subject>Features</dc:subject>
   <dc:subject>Cancer</dc:subject>
   <dc:subject>Informática (Informática)</dc:subject>
   <dc:subject>1203.17 Informática</dc:subject>
   <dc:description>© 2006 Pascual-Montano et a.
This work has been partially funded by the Spanish grants CICYT BFU2004-00217/BMC, GEN2003-20235-c05-05, CYTED-505PI0058, TIN2005-5619, PR27/05-13964-BSCH and a collaborative grant between the Spanish CSIC and the Canadian NRC (CSIC-050402040003). PCS is recipient of a grant from CAM. APM acknowledges the support of the Spanish Ramón y Cajal program.</dc:description>
   <dc:description>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.</dc:description>
   <dc:description>CICYT (Spain)</dc:description>
   <dc:description>CSIC (Spain)</dc:description>
   <dc:description>Canadian NRC</dc:description>
   <dc:description>CAM</dc:description>
   <dc:description>Spanish Ramón y Cajal program</dc:description>
   <dc:description>Sección Deptal. de Arquitectura de Computadores y Automática (Físicas)</dc:description>
   <dc:description>Fac. de Ciencias Físicas</dc:description>
   <dc:description>TRUE</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2023-06-20T11:11:44Z</dc:date>
   <dc:date>2023-06-20T11:11:44Z</dc:date>
   <dc:date>2006-07-28</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/51816</dc:identifier>
   <dc:identifier>1471-2105</dc:identifier>
   <dc:identifier>10.1186/1471-2105-7-366</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>BFU2004- 00217/BMC</dc:relation>
   <dc:relation>GEN2003-20235-c05-05</dc:relation>
   <dc:relation>CYTED-505PI0058</dc:relation>
   <dc:relation>TIN2005-5619</dc:relation>
   <dc:relation>PR27/05-13964-BSCH</dc:relation>
   <dc:relation>CSIC-050402040003</dc:relation>
   <dc:rights>Atribución 3.0 España</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/3.0/es/</dc:rights>
   <dc:rights>open access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Biomed Central LTD</dc:publisher>
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