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MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics

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Figure

Fig. 1 MATCHER method overview. a We infer manifold representations of each dataset using a Gaussian process latent variable model (GPLVM).However, the resulting “pseudotime” values from different genomic data types are not directly comparable due to diffe
Fig. 2 Single cell transcriptome and epigenome data show common modes of variation.DNA methylation, chromatin accessibility, and H3K4me2 markers across the trajectories
Fig. 3 MATCHER accurately infers known correlations between DNA methylation and gene expression
Fig. 4 Correlations among single cell gene expression, chromatin accessibility, and histone modifications.chromatin accessibility and H3K4me2 of transcription factor binding sites for 186 transcription factors
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