Search Results - "Martín Merino, Manuel"

Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling by Martinez-Romero, Jorge, Bueno-Fortes, Santiago, Martín-Merino, Manuel, Ramirez de Molina, Ana, De Las Rivas, Javier

“…Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal…”
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Cancer-associated fibroblast-derived gene signatures determine prognosis in colon cancer patients by Herrera, Mercedes, Berral-González, Alberto, López-Cade, Igor, Galindo-Pumariño, Cristina, Bueno-Fortes, Santiago, Martín-Merino, Manuel, Carrato, Alfredo, Ocaña, Alberto, De La Pinta, Carolina, López-Alfonso, Ana, Peña, Cristina, García-Barberán, Vanesa, De Las Rivas, Javier

“…According to the Consensus Molecular Subtype classification (CMS) in CC, the mesenchymal or CMS4 group is characterized by stromal invasion, extracellular…”
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A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain by Martín Merino, Manuel, López Rivero, Alfonso José, Alonso, Vidal, Vallejo, Marcelo, Ferreras, Antonio

“…Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of…”
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Del data-driven al data-feeling: análisis de sentimiento en tiempo real de mensajes en español sobre divulgación científica usando técnicas de aprendizaje automático by Sánchez-Holgado, Patricia, Martín-Merino Acera, Manuel, Blanco Herrero, David

“…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…”
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Application of Machine Learning Techniques for the Characterization and Early Diagnosis of Respiratory Diseases Such as COVID-19 by Rivero, Alfonso Jose Lopez, Corbacho, Carlos Chinchilla, Arias, Tatiana Romero, Martin-Merino, Manuel, Vaz, Paulo

“…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…”
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Combining dissimilarity based classifiers for cancer prediction using gene expression profiles by Blanco, Ángela, Martín-Merino, Manuel, De Las Rivas, Javier

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Learning a Combination of Dissimilarities from a Set of Equivalence Constraints by Martín-Merino, Manuel

“…Applications have emerged in the last years in which several dissimilarities and data sources provide complementary information about the problem. Therefore,…”
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κ-NN for the classification of human cancer samples using the gene expression profiles by Martín-Merino, Manuel

“…The [Formula: see text]-Nearest Neighbor (k-NN) classifier has been applied to the identification of cancer samples using the gene expression profiles with…”
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A local semi-supervised Sammon algorithm for textual data visualization by Martin-Merino, Manuel, Blanco, Angela

“…Sammon’s mapping is a powerful non-linear technique that allow us to visualize high dimensional object relationships. It has been applied to a broad range of…”
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Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction by Martín-Merino, Manuel, Blanco, Ángela, De Las Rivas, Javier

“…DNA microarrays provide rich profiles that are used in cancer prediction considering the gene expression levels across a collection of related samples. Support…”
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Visualizing asymmetric proximities with SOM and MDS models by Martín-Merino, Manuel, Muñoz, Alberto

“…Multidimensional scaling (MDS) and self organizing maps (SOM) algorithms are useful to visualize object relationships in a data set. These algorithms rely on…”
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A kernel SVM algorithm to detect mislabeled microarrays in human cancer samples by Martin-Merino, Manuel

“…DNA Microarrays have been successfully applied to the identification of different cancer types considering the gene expression profiles. However, previous…”
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A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources by Martin-Merino, Manuel

“…Clustering algorithms depend strongly on the dissimilarity considered to evaluate the sample proximities. In real applications, several dissimilarities are…”
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Identification of a gene expression signature associated with breast cancer survival and risk that improves clinical genomic platforms by Bueno-Fortes, Santiago, Berral-Gonzalez, Alberto, Sánchez-Santos, José Manuel, Martin-Merino, Manuel, De Las Rivas, Javier

“…Abstract Motivation Modern genomic technologies allow us to perform genome-wide analysis to find gene markers associated with the risk and survival in cancer…”
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A new Sammon algorithm for sparse data visualization by Martin-Merino, M., Munoz, A.

“…Sammon's mapping is an important non-linear projection technique that has been widely applied to the visualization of high dimensional data. However when…”
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Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction by Blanco, A., Martin-Merino, M., De Las Rivas, J.

“…Support vector machines (SVM) have been applied to the classification of cancer samples using the gene expression profiles. However, they rely on Euclidean…”
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Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA Microarrays by Blanco, A., Martin-Merino, M., De Las Rivas, J.

“…DNA microarrays provide rich profiles that are used in cancer prediction considering the gene expression levels across a collection of samples. Support Vector…”
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Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space by Blanco, A., Martin-Merino, M., De Las Rivas, J.

“…The classification of multiple cancer types based on the gene expression profiles is a challenging task. support vector machines (SVM) have been applied to…”
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