Building an ordered logistic regression model for toxicity prediction (Elizaveta Semenova)

Speaker: Elizaveta Semenova

Title: Building an ordered logistic regression model for toxicity prediction

Event description:
We will build a simple but useful ordered logistic regression model to predict severity of drug-induced liver injury (DILI) from in vitro data and physicochemical properties of compounds.

Discourse Discussion

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Speaker bio:
Elizaveta is currently a postdoc in Bayesian Machine Learning at a pharmaceutical company. Her interests span Gaussian Processes, Bayesian Neural Networks, compartmental models and differential equations with applications in epidemiology and toxicology. She is tool agnostic and builds probabilistic models in either Stan, PyMC3 or Turing.

Speaker info:

Part of PyMCon2020.

#bayesian #regression #statistics

[Faiz-seih]

hey. your work is excellent!!!!
where can I get the dataset that you used in this ML project