Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Manuel Martin-Merino"'
1
Akademický článek
Application of Machine Learning Techniques for the Characterization and Early Diagnosis of Respiratory Diseases Such as COVID-19
Autor: Alfonso Jose Lopez Rivero, Carlos Chinchilla Corbacho, Tatiana Romero Arias, Manuel Martin-Merino, Paulo Vaz
Publikováno v: IEEE Access, Vol 12, Pp 160516-160528 (2024)
This paper presents a robust methodology for the early and cost-effective diagnosis of COVID-19 based on vocal features and machine learning techniques. The proposed methodology addresses all challenges inherent to the prediction of COVID-19, includi
Externí odkaz: https://doaj.org/article/2c903ffdf4d14160baccc369e284d4a3
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2
Identification of a gene expression signature associated with breast cancer survival and risk that improves clinical genomic platforms
Autor: Santiago Bueno-Fortes, Alberto Berral-Gonzalez, José Manuel Sánchez-Santos, Manuel Martin-Merino, Javier De Las Rivas
Publikováno v: Bioinformatics Advances. 3
Motivation Modern genomic technologies allow us to perform genome-wide analysis to find gene markers associated with the risk and survival in cancer patients. Accurate risk prediction and patient stratification based on robust gene signatures is a ke
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d3688c0604ff27907a7ccb99ddddb4f
https://doi.org/10.1093/bioadv/vbad037
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3
A kernel SVM algorithm to detect mislabeled microarrays in human cancer samples
Autor: Manuel Martin-Merino
Publikováno v: BIBE
DNA Microarrays have been successfully applied to the identification of different cancer types considering the gene expression profiles. However, previous studies have shown that labeling errors are not uncommon in microarray studies. In this case, t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9020e2c7a6f585f81764a1f0863a7385
https://doi.org/10.1109/bibe.2013.6701579
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4
A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources
Autor: Manuel Martin-Merino
Publikováno v: IJCNN
Clustering algorithms depend strongly on the dissimilarity considered to evaluate the sample proximities. In real applications, several dissimilarities are available that may come from different object representations or data sources. Each dissimilar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4336b9df032bc09e48bf0b9ac07501c4
https://doi.org/10.1109/ijcnn.2011.6033433
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5
Learning a Combination of Dissimilarities from a Set of Equivalence Constraints
Autor: Manuel Martin-Merino
Publikováno v: ICDM Workshops
Applications have emerged in the last years in which several dissimilarities and data sources provide complementary information about the problem. Therefore, metric learning algorithms should be developed that integrate all this information in order
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1268b017886a960aecce739e97981acc
https://doi.org/10.1109/icdmw.2010.130
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7
Akademický článek
Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling
Autor: Jorge Martinez-Romero, Santiago Bueno-Fortes, Manuel Martín-Merino, Ana Ramirez de Molina, Javier De Las Rivas
Publikováno v: BMC Genomics, Vol 19, Iss S8, Pp 45-60 (2018)
Abstract Background Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remai
Externí odkaz: https://doaj.org/article/6ceb4172bdec44a99de9229486b2c095
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8
Akademický článek
Del data-driven al data-feeling: análisis de sentimiento en tiempo real de mensajes en español sobre divulgación científica usando técnicas de aprendizaje automático
Autor: Patricia Sánchez-Holgado, Manuel Martín-Merino Acera, David Blanco Herrero
Publikováno v: Disertaciones, Vol 13, Iss 1 (2020)
Los cambios producidos en los últimos años en cuanto a modelos de comunicación social han llevado a todos los sectores a adaptarse a los nuevos medios para alcanzar a su público. La comunicación de la ciencia no es una excepción. La manera en q
Externí odkaz: https://doaj.org/article/b0b814766dbf4e8f954f7cf50d9966f0
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