Statistical Quantification of Individual Differences: an simulation tool for understanding multi-level phenotypic data in linear mixed models
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Updated
Apr 25, 2022 - R
Statistical Quantification of Individual Differences: an simulation tool for understanding multi-level phenotypic data in linear mixed models
We use digital evolution to investigate the evolutionary consequences of phenotypic plasticity.
Genome-wide association analysis of phenotypic plasticity in the maize nested association mapping population
Source for our manuscript, "Adaptive phenotypic plasticity stabilizes evolution in fluctuating environments"
Hydrogeomorphic factors drive differences in otolith morphology in fish from the Nu-Salween River
Code for simulation and data analysis
Analysis of SCLC Cell Lines elucidates the landscape of phenotypic heterogeneity enabling diverse SCLC subtypes.
Code for project on RNA phenotypic plasticity as a response to evolutionary dynamics of periodically switching enviornments.
Simulating plasticity-led evolution
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