日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Navigating the mysterious space of evolutionary histories

探索神秘的进化史领域

Drummond, Alexei J; Popinga, Alex

The Stochastic System Identification Toolkit (SSIT) to model, fit, predict, and design experiments

随机系统辨识工具包 (SSIT) 用于建模、拟合、预测和设计实验

Popinga, Alex N; Forman, Jack; Svetlov, Dmitri; Vo, Huy D; Munsky, Brian E

Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expression

定量生物学方法——从单细胞显微图像分析到随机基因表达预测模型的推断

Aguilera, Luis U; Weber, Lisa M; Ron, Eric; King, Connor R; Öcal, Kaan; Popinga, Alex; Cook, Joshua; May, Michael P; Raymond, William S; Fox, Zachary R; Forero-Quintero, Linda S; Forman, Jack R; David, Alexandre; Munsky, Brian

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

BEAST 2.5:用于贝叶斯进化分析的高级软件平台

Bouckaert, Remco; Vaughan, Timothy G; Barido-Sottani, Joëlle; Duchêne, Sebastián; Fourment, Mathieu; Gavryushkina, Alexandra; Heled, Joseph; Jones, Graham; Kühnert, Denise; De Maio, Nicola; Matschiner, Michael; Mendes, Fábio K; Müller, Nicola F; Ogilvie, Huw A; du Plessis, Louis; Popinga, Alex; Rambaut, Andrew; Rasmussen, David; Siveroni, Igor; Suchard, Marc A; Wu, Chieh-Hsi; Xie, Dong; Zhang, Chi; Stadler, Tanja; Drummond, Alexei J

Inferring epidemiological dynamics with Bayesian coalescent inference: the merits of deterministic and stochastic models

利用贝叶斯溯祖推断推断流行病学动态:确定性模型和随机模型的优缺点

Popinga, Alex; Vaughan, Tim; Stadler, Tanja; Drummond, Alexei J

Efficient Bayesian inference under the structured coalescent

结构化合并模型下的有效贝叶斯推断

Vaughan, Timothy G; Kühnert, Denise; Popinga, Alex; Welch, David; Drummond, Alexei J