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Table 2 Disadvantages of each research method

From: HEC-ASD: a hybrid ensemble-based classification model for predicting autism spectrum disorder disease genes

Studies methods

Disadvantages

ML

In unbalanced dataset, the results will be biased to the majority class

DL

Requires large number of genes to train deep learning model

SM

Long time consuming

GE,PPI,GRN

Neglects some weak interaction, so not be represented in the network

GO

Some genes do not have annotated terms in GO