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Table 1 Description of trained models and dataset for simulation evaluation

From: methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

TCGA Dataset

Training model

Description

70%

methCancer-gen

CVAE based DNN model

 

Benchmark

Estimating beta distribution of beta values for each CpG

30%

5 different ML based classifiers

Classifying dataset with 100 generated data for each cancer