Mostrando 10 resultados de: 14
Filtros aplicados
Subtipo de publicación
Article(14)
Publisher
Scientific Reports(4)
Applied Sciences (Switzerland)(2)
Computers and Electronics in Agriculture(2)
ACS Omega(1)
British Poultry Science(1)
Área temáticas
Enfermedades(5)
Ciencias de la computación(4)
Fisiología humana(3)
Farmacología y terapéutica(2)
Funcionamiento de bibliotecas y archivos(2)
Área de conocimiento
Aprendizaje automático(8)
Cáncer(5)
Ciencias de la computación(3)
Agricultura(2)
Algoritmo(2)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(12)
ODS 12: Producción y consumo responsables(8)
ODS 3: Salud y bienestar(7)
ODS 2: Hambre cero(5)
ODS 17: Alianzas para lograr los objetivos(4)
Origen
google(9)
Gene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis
ArticleAbstract: Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recPalabras claves:Communality analysis, early recognition, Gene prioritization, Osteosarcoma, pathogenesisAutores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, Gabriela Fernanda Jaramillo-Koupermann, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:scopusGene 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:googlescopusDetection of bovine mastitis in raw milk, using a low-cost nir spectrometer and k-nn algorithm
ArticleAbstract: Among the bovine diseases, mastitis causes high economic losses in the dairy production system. NowaPalabras claves:CALIFORNIA MASTITIS TEST, Dairy, Health monitoring, Machine learning, Near infrared reflected spectraAutores:Fernández-Blanco E., Ivan Eduardo Ramirez Morales, Jhonny E. Pérez, Lenin Aguilar, Rivero D., Sierra A.P.Fuentes:scopusDetermination 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:googlescopusA multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing
ArticleAbstract: Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year surviPalabras claves:Drug repositioning, Machine learning, Multi-objective model, Osteosarcoma, Virtual ScreeningAutores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Eduardo Tejera, Gabriela Fernanda Jaramillo-Koupermann, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:scopusClassical 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:googlescopusCarbon nanotubes’ effect on mitochondrial oxygen flux dynamics: Polarography experimental study and machine learning models using star graph trace invariants of raman spectra
ArticleAbstract: This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) undPalabras claves:carbon nanotubes, Cytotoxicity, Graph Theory, Mitochondria oxygen mass flux, Raman spectroscopy, Spectral momentsAutores:Barreiro Sorrivas J.M., Gerardo M. Casañola-Martin, González-Durruthy M., González‐díaz H., Maojo V., Monserrat J.M., Munteanu C.R., Paraíso-Medina S., Rasulev B., Sierra A.P.Fuentes:scopusPerturbation-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:googlescopus