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Cellular biology

Gene regulation meets Bayesian non-parametrics

Inferring gene networks from discrete RNA counts across cells remains a complex problem. Following Bayesian non-parametrics, a computational framework is proposed to perform non-biased inference of transcription kinetics from single-cell RNA counting experiments.

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Fig. 1: Bayesian framework model overview.


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Correspondence to Sandeep Choubey.

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Choubey, S. Gene regulation meets Bayesian non-parametrics. Nat Comput Sci 3, 126–127 (2023).

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