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

Published in: BMC bioinformatics (2020)

To evaluate the simulation performance of methCancer-gen for the user-specified cancer type, our proposed model was compared to a benchmark method and it could successfully reproduce cancer type-wise data with high accuracy helping to alleviate the lack of condition-specific data issue. methCancer-gen is publicly available at https://github.com/cbi-bioinfo/methCancer-gen.

Keyphrases

papillary thyroid
squamous cell
electronic health record
lymph node metastasis
big data
machine learning
squamous cell carcinoma
young adults
artificial intelligence