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Figure 3
Motif extraction via deep learning
(A) A convolutional neural network was used to extract sequence motifs that are predictive of the expected state-read depth score, a combination of the segmentation model’s state calls and the read depth across cells (see
(B) Extracted motifs agree with known motifs of transcription factors implicated in regulating distinct cell-type-specific processes.
Acknowledgments
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