A Machine Learning-Based algorithm for the assessment of clinical metabolomic fingerprints in Zika virus disease

Conference Object

Abstract: Data analysis for metabolomic studies is challenging considering the number of statistical tools and

Palabras claves:

logistic regression, Machine learning, PCa, SVM, Zika Virus

Autores:

Barrett M., Enrique Pelaez, Fernanda Bertuccez Cordeiro, Regato M., Washington Cardenas Medranda, Zambrano M.P.

Fuentes:

google

scopus