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Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.

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第一作者： Ana,Torres

第一单位： WHO Collaborating Centre for Leishmaniasis. Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda (Madrid), Spain.;CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain.;Escuela de Doctorado, Universidad Autónoma de Madrid, Madrid, Spain.

作者： Ana,Torres ^[1] ; Brima Musa,Younis ^[2] ; Samuel,Tesema ^[3] ; Jose Carlos,Solana ^[4] ; Javier,Moreno ^[4] ; Antonio J,Martín-Galiano ^[5] ; Ahmed Mudawi,Musa ^[2] ; Fabiana,Alves ^[6] ; Eugenia,Carrillo ^[4]

作者单位： WHO Collaborating Centre for Leishmaniasis. Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda (Madrid), Spain.;CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain.;Escuela de Doctorado, Universidad Autónoma de Madrid, Madrid, Spain. ^[1] Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan. ^[2] Drugs for Neglected Diseases Initiative, Nairobi, Kenya. ^[3] WHO Collaborating Centre for Leishmaniasis. Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda (Madrid), Spain.;CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain. ^[4] Core Scientific and Technical Units, Instituto de Salud Carlos III, Madrid, Spain. ^[5] Drugs for Neglected Diseases Initiative, Geneva, Switzerland. ^[6]