Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 52 times.
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National Science Foundation
Grant: DGE-1762114
Deutsche Forschungsgemeinschaft
Grant: HO 6201/1-1
Division of Environmental Biology
Grant: DEB-1456098
Division of Information and Intelligent Systems
Grant: IIS-1561334
National Institute of Allergy and Infectious Diseases
Grant: AI107034
NIAID NIH HHS
Grant: R01 AI107034
National Science Foundation
Grant: 1456098
COLLABORATIVE RESEARCH: Mechanisms of Diversification in West African Rainforest Amphibians and Reptiles
National Science Foundation
Grant: 1762114
Graduate Research Fellowship Program (GRFP)
National Institutes of Health
Grant: 5R01AI107034-05
BAYESIAN MODELING AND DATA INTEGRATION IN INFECTIOUS DISEASE PHYLODYNAMICS
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
The Branco Weiss Fellowship – Society in Science
FWCI
3.65
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals