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Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.
Choi, Ickwon; Chung, Amy W; Suscovich, Todd J; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J; Francis, Donald; Robb, Merlin L; Michael, Nelson L; Kim, Jerome H; Alter, Galit; Ackerman, Margaret E; Bailey-Kellogg, Chris.
Afiliación
  • Choi I; Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America.
  • Chung AW; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America.
  • Suscovich TJ; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America.
  • Rerks-Ngarm S; Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
  • Pitisuttithum P; Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Nitayaphan S; Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
  • Kaewkungwal J; Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • O'Connell RJ; Department of Retrovirology, U.S. Army Medical Component, AFRIMS, Bangkok, Thailand.
  • Francis D; Global Solutions for Infectious Diseases (GSID), South San Francisco, California, United States of America.
  • Robb ML; US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America; Henry Jackson Foundation HIV Program, US Military HIV Research Program, Bethesda, Maryland, United States of America.
  • Michael NL; US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
  • Kim JH; US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
  • Alter G; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America.
  • Ackerman ME; Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States of America.
  • Bailey-Kellogg C; Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America.
PLoS Comput Biol ; 11(4): e1004185, 2015 Apr.
Article en En | MEDLINE | ID: mdl-25874406
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anticuerpos Anti-VIH / Infecciones por VIH / Vacunas contra el SIDA / Modelos Inmunológicos / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anticuerpos Anti-VIH / Infecciones por VIH / Vacunas contra el SIDA / Modelos Inmunológicos / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos