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BIOINFORMATICS

How regulatory sequences learn cell representations

New computational method uses convolutional neural networks for cis-regulatory sequence analysis to analyze and cluster scATAC-seq data.

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Fig. 1: Separate and combined analysis of regulatory sequences and scATAC-seq data.

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Acknowledgements

I am grateful to Niklas Kempynck, Nikolai Hecker, Gabriele Partel, Ibrahim Ihsan Taskiran, Carmen Bravo González-Blas, Harold O. F. Snyers d'Attenhoven, and Ioannis Sarropoulous for critical comments and advice on the text and to Duygu Koldere Vilain for her help with the figure design.

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Correspondence to Stein Aerts.

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Aerts, S. How regulatory sequences learn cell representations. Nat Methods 19, 1041–1043 (2022). https://doi.org/10.1038/s41592-022-01570-8

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