bioNMF: a versatile tool for non-negative matrix factorization in biology
| dc.contributor.author | Pascual Montano, Alberto | |
| dc.contributor.author | Carmona Saez, Pedro | |
| dc.contributor.author | Chagoyen, Mónica | |
| dc.contributor.author | Tirado Fernández, José Francisco | |
| dc.contributor.author | Carazo, José M. | |
| dc.contributor.author | Pascual Marqui, Roberto. D. | |
| dc.date.accessioned | 2023-06-20T11:11:44Z | |
| dc.date.available | 2023-06-20T11:11:44Z | |
| dc.date.issued | 2006-07-28 | |
| 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.abstract | 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.department | Sección Deptal. de Arquitectura de Computadores y Automática (Físicas) | |
| dc.description.faculty | Fac. de Ciencias Físicas | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | CICYT (Spain) | |
| dc.description.sponsorship | CSIC (Spain) | |
| dc.description.sponsorship | Canadian NRC | |
| dc.description.sponsorship | CAM | |
| dc.description.sponsorship | Spanish Ramón y Cajal program | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/36321 | |
| dc.identifier.doi | 10.1186/1471-2105-7-366 | |
| dc.identifier.issn | 1471-2105 | |
| dc.identifier.officialurl | http://dx.doi.org/10.1186/1471-2105-7-366 | |
| dc.identifier.relatedurl | http://bmcbioinformatics.biomedcentral.com/ | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/51816 | |
| dc.journal.title | BMC Bioinformatics | |
| dc.language.iso | eng | |
| dc.publisher | Biomed Central LTD | |
| dc.relation.projectID | BFU2004- 00217/BMC | |
| dc.relation.projectID | GEN2003-20235-c05-05 | |
| dc.relation.projectID | CYTED-505PI0058 | |
| dc.relation.projectID | TIN2005-5619 | |
| dc.relation.projectID | PR27/05-13964-BSCH | |
| dc.relation.projectID | CSIC-050402040003 | |
| dc.rights | Atribución 3.0 España | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | https://creativecommons.org/licenses/by/3.0/es/ | |
| dc.subject.cdu | 004 | |
| dc.subject.keyword | Gene expression data | |
| dc.subject.keyword | Independent component analysis | |
| dc.subject.keyword | Microarray data | |
| dc.subject.keyword | Class discovery | |
| dc.subject.keyword | Profiles | |
| dc.subject.keyword | Identification | |
| dc.subject.keyword | Algorithms | |
| dc.subject.keyword | Features | |
| dc.subject.keyword | Cancer | |
| dc.subject.ucm | Informática (Informática) | |
| dc.subject.unesco | 1203.17 Informática | |
| dc.title | bioNMF: a versatile tool for non-negative matrix factorization in biology | |
| dc.type | journal article | |
| dc.volume.number | 7 | |
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| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 1356616c-9e69-4852-8415-62fd0b8e7cfc | |
| relation.isAuthorOfPublication.latestForDiscovery | 1356616c-9e69-4852-8415-62fd0b8e7cfc |
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