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]