A Biologically Informed Bayesian Prediction Framework

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Principal Investigator

Description

The research goal of this project is to develop a biologically informed machine learning (ML) model that integrates datasets from different studies, and leverages current biological knowledge in an automated manner, to improve predictions in biological data analysis.

Projects (1)

Predictive Phenomics is addressing the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems .

  1. Datasets

    1

Project status

Inactive
English