Integrative approach to feature selection combining weighted LASSO and prior biological knowldge
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Updated
Mar 18, 2024 - Jupyter Notebook
Integrative approach to feature selection combining weighted LASSO and prior biological knowldge
SimbaML is an all-in-one framework for integrating prior knowledge of ODE models into the ML process by synthetic data augmentation. It allows for the convenient generation of realistic synthetic data by sparsifying and adding noise. Furthermore, our framework provides customizable pipelines for various ML experiments, such as transfer learning.
This is repository is for AIN311 Course Project "Eye Tracking and Prior Knowledge"
The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline
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