Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution.

Chen, Kylie; Moravec, Jirí C; Gavryushkin, Alex; Welch, David; Drummond, Alexei J

Chen, Kylie; Moravec, Jirí C; Gavryushkin, Alex; Welch, David; Drummond, Alexei J.

Afiliación

Chen K; School of Computer Science, University of Auckland, Auckland, New Zealand.
Moravec JC; Department of Computer Science, University of Otago, Dunedin, New Zealand.
Gavryushkin A; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Welch D; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Drummond AJ; School of Computer Science, University of Auckland, Auckland, New Zealand.

Mol Biol Evol ; 39(8)2022 08 03.

Article en En | MEDLINE | ID: mdl-35733333

Asunto(s)

Neoplasias; Programas Informáticos; Teorema de Bayes; Evolución Molecular; Genómica; Humanos; Modelos Genéticos; Filogenia

Palabras clave

Bayesian methods; phylogenetics; single-cell sequencing

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google