coiaf: Directly estimating complexity of infection with allele frequencies.

Paschalidis, Aris; Watson, Oliver J; Aydemir, Ozkan; Verity, Robert; Bailey, Jeffrey A

Paschalidis, Aris; Watson, Oliver J; Aydemir, Ozkan; Verity, Robert; Bailey, Jeffrey A.

Afiliación

Paschalidis A; Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, United States of America.
Watson OJ; Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, United States of America.
Aydemir O; Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Verity R; Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, United States of America.
Bailey JA; Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.

PLoS Comput Biol ; 19(6): e1010247, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37294835

Asunto(s)

Malaria Falciparum; Malaria; Humanos; Malaria Falciparum/epidemiología; Malaria Falciparum/genética; Malaria Falciparum/parasitología; Teorema de Bayes; Plasmodium falciparum/genética; Frecuencia de los Genes/genética; Malaria/parasitología

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Malaria Falciparum / Malaria Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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