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A Machine Learning-Based algorithm for the assessment of clinical metabolomic fingerprints in Zika virus disease
Conference ObjectAbstract: Data analysis for metabolomic studies is challenging considering the number of statistical tools andPalabras claves:logistic regression, Machine learning, PCa, SVM, Zika VirusAutores:Barrett M., Enrique Pelaez, Fernanda Bertuccez Cordeiro, Regato M., Washington Cardenas Medranda, Zambrano M.P.Fuentes:googlescopusMapping immune variation and var gene switching in naive hosts infected with plasmodium falciparum
ArticleAbstract: Falciparum malaria is clinically heterogeneous and the relative contribution of parasite and host inPalabras claves:Autores:Barrett M., Berriman M., Diana Mūnoz Sandoval, Draper S.J., Edwards N.J., Hill A.V.S., Ivens A., Lotkowska M.E., Milne K., Minassian A.M., Nahrendorf W., O’toole A., Payne R.O., Regnault C., Reid A.J., Rowe J.A., Sanders M.J., Sankaranarayanan G., Silk S.E., Spence P.J., Venkatraman N.Fuentes:scopus