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ACS Omega(1)
BMC Medical Genomics(1)
HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021(1)
Journal of Maternal-Fetal and Neonatal Medicine(1)
Molecular Pharmaceutics(1)
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A Representation Method for Cellular Lines based on SVM and Text Mining
Conference ObjectAbstract: One important problem in Bioinformatics is the discovery of new interactions between cellular linesPalabras claves:bioinformatics, Machine learning, TEXT MININGAutores:Dutra I., Eduardo Tejera, Iván Carrera IzurietaFuentes:googlescopusCell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity pbkp_rediction
ArticleAbstract: The pbkp_rediction of cell-lines sensitivity to a given set of compounds is a very important factorPalabras claves:Autores:Aminael Sánchez-Rodríguez, Eduardo Tejera, Iván Carrera Izurieta, Karina Beatríz Jimenes-Vargas, Maykel Cruz-Monteagudo, Vinicio Danilo Armijos-Jaramillo, Yunierkis Perez-CastilloFuentes:googlescopusArtificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes
ArticleAbstract: Objective.A model construction for classification of women with normal, hypertensive and preeclamptiPalabras claves:artificial neural networks, HRV, Hypertension, Preeclampsia, PregnancyAutores:Eduardo Tejera, Jose Areias M., Manuel Nieto-Villar J., Rama A., Rebelo I., Rodrigues A.I.Fuentes:googlescopusEfficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization
ArticleAbstract: Background: The systemic information enclosed in microarray data encodes relevant clues to overcomePalabras claves:Co-expression networks, Consensus strategy, early recognition, Gene prioritization, Parkinson's DiseaseAutores:A. Sanchez Rodriguez, Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Rebelo I., Y. Perez Castillo, Yunierkis Perez-CastilloFuentes:googlerraaescopusMultioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds
ArticleAbstract: Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceuticPalabras claves:antiretroviral compounds, BIG DATA, CHEMBL, Machine learning, perturbation theoryAutores:Eduardo Tejera, Emilia Vásquez-Domínguez, González‐díaz H., Vinicio Danilo Armijos-JaramilloFuentes: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:googlescopusSimple matrix factorization collaborative filtering for drug repositioning on cell lines
Conference ObjectAbstract: The discovery of new biological interactions, such as interactions between drugs and cell lines, canPalabras claves:COLLABORATIVE FILTERING, Drug repositioning, recommender systemsAutores:Dutra I., Eduardo Tejera, Iván Carrera IzurietaFuentes:googlescopusRepresenting Cellular Lines with SVM and Text Processing
Conference ObjectAbstract: A main problem for pbkp_redicting cell line interactions with chemical compounds is the lack of a coPalabras claves:bioinformatics, Knowledge Representation, Machine learningAutores:Dutra I., Eduardo Tejera, Iván Carrera IzurietaFuentes:googlescopus