Team ZJU-China 2024 Software Tool
Understanding the laws that govern a phenomenon is the core of scientific progress. This is especially true when the goal is to model the interplay between different aspects in a causal fashion.
Description
ExpAscribe: a causal inference framework for quantitative experiment ascription and its derivative process, with python library and portable webapp provided by Team ZJU-China 2024.
Features
- Quantitative ascription-validation-intervention-optimization closed loop, equipped with state-of-the-art ML studies
- Validated by experimental work
- Compatible with existing database formats, i.e. GEO and ArrayExpress
- Detailed documentation, example notebooks and tutorial videos