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Fig. 2 | BMC Bioinformatics

Fig. 2

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

Fig. 2

Top row: t-SNE projections of task AP versus IP: epigenomic data (a, b) and sequence data (c, d) for hg19 dataset (a, c) and hg38-dataset (b, d) on one hold-out of the GM12878 cell line, respectively. Bottom row: t-SNE projections of task AE versus IE: epigenomic data (e, f) and sequence data (g, h) for hg19 dataset (e, g) and hg38-dataset (f, h) on one hold-out of the GM12878 cell line, respectively

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BMC Bioinformatics

ISSN: 1471-2105

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