Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models
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Updated
Sep 23, 2019 - Python
Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models
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.
Function to estimate evolutionary parameter in PGLS models using log-likelihood
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
Ram, Liberman & Feldman (2019) Vertical and oblique cultural transmission fluctuating in time and in space, TPB
Repo for: Chuong et al. (2024) DNA replication errors are a major source of adaptive gene amplification
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