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.
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
Function to estimate evolutionary parameter in PGLS models using log-likelihood
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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