A mechanistic model for the negative binomial distribution of single-cell mRNA counts

Amrhein L, Harsha K, Fuchs C (2019)
bioRxiv.

Preprint | Veröffentlicht | Englisch
 
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Autor*in
Amrhein, Lisa; Harsha, Kumar; Fuchs, ChristianeUniBi
Abstract / Bemerkung
SummarySeveral tools analyze the outcome of single-cell RNA-seq experiments, and they often assume a probability distribution for the observed sequencing counts. It is an open question of which is the most appropriate discrete distribution, not only in terms of model estimation, but also regarding interpretability, complexity and biological plausibility of inherent assumptions. To address the question of interpretability, we investigate mechanistic transcription and degradation models underlying commonly used discrete probability distributions. Known bottom-up approaches infer steady-state probability distributions such as Poisson or Poisson-beta distributions from different underlying transcription-degradation models. By turning this procedure upside down, we show how to infer a corresponding biological model from a given probability distribution, here the negative binomial distribution. Realistic mechanistic models underlying this distributional assumption are unknown so far. Our results indicate that the negative binomial distribution arises as steady-state distribution from a mechanistic model that produces mRNA molecules in bursts. We empirically show that it provides a convenient trade-off between computational complexity and biological simplicity.Graphical Abstract
Erscheinungsjahr
2019
Zeitschriftentitel
bioRxiv
Page URI
https://pub.uni-bielefeld.de/record/2944732

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Amrhein L, Harsha K, Fuchs C. A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv. 2019.
Amrhein, L., Harsha, K., & Fuchs, C. (2019). A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv. doi:10.1101/657619
Amrhein, Lisa, Harsha, Kumar, and Fuchs, Christiane. 2019. “A mechanistic model for the negative binomial distribution of single-cell mRNA counts”. bioRxiv.
Amrhein, L., Harsha, K., and Fuchs, C. (2019). A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv.
Amrhein, L., Harsha, K., & Fuchs, C., 2019. A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv.
L. Amrhein, K. Harsha, and C. Fuchs, “A mechanistic model for the negative binomial distribution of single-cell mRNA counts”, bioRxiv, 2019.
Amrhein, L., Harsha, K., Fuchs, C.: A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv. (2019).
Amrhein, Lisa, Harsha, Kumar, and Fuchs, Christiane. “A mechanistic model for the negative binomial distribution of single-cell mRNA counts”. bioRxiv (2019).
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Preprint: 10.1101/657619

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