Skip to main content
Fig. 9 | BMC Bioinformatics

Fig. 9

From: Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques

Fig. 9

Distributions of the Validation AUPRC sampled during Bayesian optimization of the Bayesian-FFNN meta-models (continuous lines) and Bayesian-CNN meta-models (dashed lines), when trained on the hg38 dataset. Different colors correspond to different cell lines. a Active Enhancers versus Active Promoters (AE versus AP); b Active Enhancers versus Inactive Enhancers (AE versus IE); c Active Promoters versus Inactive Promoters (AP versus IP); d Inactive Enhancers versus Inactive Promoters (IE versus IP); e Active Enhancers and Promoters versus Inactive Enhancers and Promoters (AE + AP versus IE + IP)

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us