Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models
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Sep 23, 2019 - Python
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evolutionary-models
Here are 10 public repositories matching this topic...
The LCN-HippoModel is a biophysically realistic model of CA1 pyramidal cells aimed to get novel insights on firing dynamics in deep and superficial populations during the theta rhythm.
synaptics neuron-simulations theta self-organizing-map hippocampus neuron-morphology evolutionary-models pyramidal-cells theta-rhythm firing-dynamics theta-cycles intrinsic-properties inhibitory-inputs
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Jul 25, 2022 - Python
A deep research study introducing the Gene Drift Hypothesis: a framework explaining how tokenomics mutate across market cycles. Analyzes evolutionary forces, selective pressures, behavioral traits, and economic genes that rise, fall, or mutate through bull/bear phases, shaping token species over time.
risk-analysis cryptoeconomics tokenomics evolutionary-models token-classification behavioral-finance market-dynamics smart-contract-analysis onchain-analysis market-cycles evolutionary-economics gene-drift defi-research economic-genomics solidity-research scam-patterns token-species smart-contract-behavior economic-mutation blockchain-theory
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Nov 29, 2025
PPTStab: Designing of thermostable proteins with a desired melting temperature
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Jul 23, 2025 - Python
Experiments with the BEAST 2 software
phylogenetic-trees phylogenetics bayesian phylogeography bayesian-inference bayesian-statistics phylogeny evolutionary phylodynamics beast2 evolutionary-biology compartmental-models compartmental-model evolutionary-models compartmental-modeling
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Jan 9, 2025 - Python
Docker and Apptainer setup for the BEAST 2 software
docker docker-compose phylogenetic-trees beast phylogenetics bayesian phylogeography bayesian-inference phylogenomics bayesian-statistics phylodynamics beast2 compartmental-models compartmental-model evolutionary-models apptainer compartmental-modeling
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Jan 9, 2025 - R
Function to estimate evolutionary parameter in PGLS models using log-likelihood
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Jun 11, 2025 - R
Repo for: Avecilla et al (2022) Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics. PLOS Biology. doi:10.1371/journal.pbio.3001633
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Apr 17, 2024 - HTML
Ram, Liberman & Feldman (2019) Vertical and oblique cultural transmission fluctuating in time and in space, TPB
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Jun 26, 2019 - Jupyter Notebook
Repo for: Chuong et al. (2024) DNA replication errors are a major source of adaptive gene amplification
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Apr 17, 2024 - Jupyter Notebook
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