7. Glossary

Name	Description
Acquisition functions	These are heuristics functions employed to evaluate the usefulness of points for achieving the objective function.
A model hyperparameter	Configuration values that are external to a model and whose values cannot be (or are not) estimated from data
An ensemble of g members	A group of g number of learning algorithms
An acquisition model	A training model that depends on acquisition functions
EC number	Enzyme Commission number
Embedding	An embedding is a low-dimensional latent continuous feature extracted from each node of a network. Read our paper for more details.
Features	These are individual independent variables that act as input in a system. While making predictions, models use these features.
Heterogeneous information network	A multi-layer network where nodes within a layer manifest inter-interactions and nodes between layers manifest betweenness interactions. Read our paper for more details.
NCBI	National Center for Biotechnology Information
PGDBs	Pathway/Genome Databases

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