Stochastic logistic models reproduce experimental time series of microbial communities
Snapshot #1
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docker.io/stencila/executa-midi@sha256:0827e05ff052c8e465590b4a546042da06b1ef5bfa1941c6b85fa9e22bd34114
Files
The files archived in this snapshot.
| Type | Path | Last modified | Size | Actions |
|---|---|---|---|---|
| Data | 4 years ago | 168.7MiB | ||
| Experimental.ipynb | 4 years ago | 280.9KiB | ||
| Figures eLife.ipynb | 4 years ago | 322.3KiB | ||
| Fisher Mehta neutral model annotated.ipynb | 4 years ago | 108.5KiB | ||
| Influence interactions SOI and sgLV.ipynb | 4 years ago | 2.1MiB | ||
| Noise color fit comparison (linear vs spline).ipynb | 4 years ago | 50.0KiB | ||
| README | 4 years ago | 1.1KiB | ||
| Study noise no interaction.ipynb | 4 years ago | 1.5MiB | ||
| Study noise with interaction.ipynb | 4 years ago | 1.3MiB | ||
| Understand noise color.ipynb | 4 years ago | 60.6KiB | ||
| Understanding Fisher Mehta Figure 2B.ipynb | 4 years ago | 2.0MiB | ||
| Width distribution dx.ipynb | 4 years ago | 184.7KiB | ||
| brownian.py | 4 years ago | 2.6KiB | ||
| elife_settings.py | 4 years ago | 1.1KiB | ||
| generate_timeseries.py | 4 years ago | 15.2KiB | ||
| make_colormap.py | 4 years ago | 1.8KiB | ||
| neutral_covariance_test.py | 4 years ago | 5.1KiB | ||
| neutrality_analysis.py | 4 years ago | 4.0KiB | ||
| noise_analysis.py | 4 years ago | 26.9KiB | ||
| noise_color_analysis.py | 4 years ago | 2.7KiB | ||
| noise_parameters.py | 4 years ago | 409.0B | ||
| noise_properties_plotting.py | 4 years ago | 22.8KiB | ||
| results | 4 years ago | 245.8KiB |