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2 changes: 1 addition & 1 deletion README.md
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This software is designed to predict to predict disease-to-protein (protein-coding
gene) associations, from a biomedical knowledge graph, via machine learning (ML).
This codebase abstracts the ML from the domain knowledge and data sources, to
allow reuse for other applications. The input PostgreSQL relational database is
allow reuse for other applications. The input (MySQL or PostgreSQL) relational database is
converted to a knowledge graph, then converted to feature vectors by metapath
matching, based on an input disease, defining a training set of proteins. Then
XGBoost is used to generate and optimize a predictive model.
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