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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Castell Díaz, Javier | - |
| dc.contributor.author | Abad Navarro, Francisco | - |
| dc.contributor.author | De la Morena Barrio, María Eugenia | - |
| dc.contributor.author | Corral de la Calle, Javier | - |
| dc.contributor.author | Fernández Breis, Jesualdo Tomás | - |
| dc.contributor.other | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Medicina Interna | es |
| dc.date.accessioned | 2024-02-02T08:16:36Z | - |
| dc.date.available | 2024-02-02T08:16:36Z | - |
| dc.date.created | 2021 | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | IEEE Journal of Biomedical and Health Informatics, 26(11):5750-5756, 2022 | - |
| dc.identifier.issn | Print: 2168-2194 | - |
| dc.identifier.issn | Electrónico: 2168-2208 | - |
| dc.identifier.uri | http://hdl.handle.net/10201/138487 | - |
| dc.description | ©<2022>. This manuscript version is made available under the CC-BY-NC-ND license http://creativecommons.org/licenses/ccbyncdd/4.0/ This document is the Published, version of a Published Work that appeared in final form in [IEEE Journal of Biomedical and Health Informatics]. To access the final edited and published work see [https://doi.org/10.1109/JBHI.2022.3200966] | - |
| dc.format | application/pdf | es |
| dc.language | eng | es |
| dc.publisher | Institute of Electrical and Electronics Engineers [Society Publisher] | - |
| dc.relation | MCIN/AEI/10.13039/501100011033/ - Agencia Estatal de Investigación (PID2020-113723RB-C22) 10.13039/501100004587-Instituto de Salud Carlos III (PI18/00598) 10.13039/501100008530-European Regional Development Fund (Grant Number: PI18/00598) Fundación Séneca, Agencia Regional de Ciencia y Tecnología (19873/GERM/15) | es |
| dc.rights | info:eu-repo/semantics/openAccess | es |
| dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
| dc.subject.other | CDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnología | es |
| dc.title | Using Machine Learning for predicting the effect of mutations in the initiation codon | es |
| dc.type | info:eu-repo/semantics/preprint | es |
| dc.relation.publisherversion | https://doi.org/10.1109/JBHI.2022.3200966 | es |
| dc.identifier.doi | https://doi.org/10.1109/JBHI.2022.3200966 | - |
| Aparece en las colecciones: | Artículos: Informática y Sistemas | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| preprint_MLMIC_IEEE.pdf | Preprint of the paper published in IEEE Journal of Biomedical and Health Informatics | 349,53 kB | Adobe PDF |  Visualizar/Abrir |
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