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Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
ArticleAbstract: Consensus strategy was proved to be highly efficient in the recognition of gene-disease association.Palabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, González‐díaz H., Munteanu C.R., Sierra A.P., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes:googlescopusEarly warning in egg production curves from commercial hens: A SVM approach
ArticleAbstract: Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwrittPalabras claves:Drop in egg production, Early warning, Machine learning, Poultry management, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Rivero D., Sierra A.P.Fuentes:googlescopusDetermination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques
ArticleAbstract: Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage timPalabras claves:Chemometrics, Freshness, Neural networks, Non-destructive, poultryAutores:Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Julian Coronel-Reyes, Rivero D., Sierra A.P.Fuentes:googlescopusClassical music prediction and composition by means of variational autoencoders
ArticleAbstract: This paper proposes a new model for music prediction based on Variational Autoencoders (VAEs). In thPalabras claves:deep learning, Music composition, Variational autoencodersAutores:Ezquerra N., Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Rivero D., Sierra A.P.Fuentes:googlescopusAutomated early detection of drops in commercial egg production using neural networks
ArticleAbstract: 1. The purpose of this work was to support decision-making in poultry farms by performing automaticPalabras claves:Farming systems, Laying hens, Machine learning, modelling, production dropsAutores:Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Rivero D., Sierra A.P.Fuentes:googlescopusPerturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds
ArticleAbstract: Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Arrasate S., Eduardo Tejera, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:googlescopusOncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine
ArticleAbstract: Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, González‐díaz H., Munteanu C.R., SANTIAGO XAVIER GUERRERO JIJÓN, Sierra A.P., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes:googlescopusOptimization of NIR calibration models for multiple processes in the sugar industry
ArticleAbstract: The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are wiPalabras claves:Agro-industry, Calibration models, Chemometrics, Machine learning, NIR, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Rivero D., Sierra A.P.Fuentes:googlescopusPrediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
ArticleAbstract: Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulaPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, Gonzáles-Díaz H., Munteanu C.R., SANTIAGO XAVIER GUERRERO JIJÓN, Sierra A.P., Vázquez-Naya J.M., Yunierkis Perez-CastilloFuentes:googlescopus