Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates.
about
The epidemic dynamics of hepatitis C virus subtypes 4a and 4d in Saudi ArabiaA Relaxed Directional Random Walk Model for Phylogenetic Trait Evolution.Accurate quantification of within- and between-host HBV evolutionary rates requires explicit transmission chain modelling.Rarity and persistence.Modeling the growth and decline of pathogen effective population size provides insight into epidemic dynamics and drivers of antimicrobial resistance.Phylodynamic applications in 21st century global infectious disease research.Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak.Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches.Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10.
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P2860
Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates.
description
2016 nî lūn-bûn
@nan
2016 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Understanding Past Population ...... ased Modeling with Covariates.
@ast
Understanding Past Population ...... ased Modeling with Covariates.
@en
type
label
Understanding Past Population ...... ased Modeling with Covariates.
@ast
Understanding Past Population ...... ased Modeling with Covariates.
@en
prefLabel
Understanding Past Population ...... ased Modeling with Covariates.
@ast
Understanding Past Population ...... ased Modeling with Covariates.
@en
P2860
P50
P356
P1433
P1476
Understanding Past Population ...... ased Modeling with Covariates.
@en
P2093
Mandev S Gill
Roman Biek
P2860
P304
P356
10.1093/SYSBIO/SYW050
P577
2016-07-01T00:00:00Z
P698
P818
1601.05078