Table 11.

Bio-chemistry

Title	Construction and analysis of molecular association network by combining behavior representation and node attributes.
Description	Leverage graph representation of association network of biological entities to predict associations as input for classifier, compare CatBoost with other popular classifiers as association predictor
Performance metric	Accuracy, sensitivity, specificity, precision, Matthew’s Correlation, Coefficient, AUC,
Winner	CatBoost (except Sensitivity)
Reference	[38]
Title	Prediction model of aryl hydrocarbon receptor activation by a novel QSAR approach, deepSnap–deep learning
Description	Compare CatBoost to other learners in image processing task related to study relationship between genes and liver function
Performance metric	AUC, accuracy
Winner	DeepSnap-DL (deep learning algorithm)
Reference	[5]