Data processing procedure described in the article submitted to JBI Special Issue
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Updated
Jul 4, 2023 - R
Data processing procedure described in the article submitted to JBI Special Issue
Investigation of network geometry and percolation in directed acyclic graphs (MSci Thesis). Maintained by Ariel Flint Ashery and Kevin Teo. Supervisor: Timothy Evans
Experiments on Causality & Reinforcement Learning
Project Risk Analysis
Causal Abstraction of Neural Models Trained to Solve ReaSCAN
Causality reading group
Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
A Python package for learning and using causal networks via discrete geometry
Materials for 2017 Myanmar causal network paper (Lim et al. 2017. Conservation Biology).
appunti magistrale - informatica
A super light-weight web app to create causal loop diagrams (CLD) online. This is useful in Systems Thinking and System Dynamics.
CASCADE - CAncer Signaling CAusality DatabasE
An auto generator of alternative representations for Bayesian Networks.
Applications and validation analyses shown in the manuscript
Code and figures for the Differential Causal Inference (DCI) algorithm
Code accompanying my 2021 ASA SDSS paper
Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"
A Python package for drug discovery by analyzing causal paths on multiscale networks
A Brief Overview of Causal Inference (xaringan presentation)
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