Assessing Markovian and Delay Models for Single-Nucleus RNA Sequencing-Reference-Cited by-同舟云学术

Assessing Markovian and Delay Models for Single-Nucleus RNA Sequencing

Published:2023-10-12 Issue:11 Volume:85 Page:
ISSN:0092-8240
Container-title:Bulletin of Mathematical Biology
language:en
Short-container-title:Bull Math Biol

Author:

Gorin Gennady,Yoshida Shawn,Pachter Lior

Funder

National Institutes of Health

NSF

NIH

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Agricultural and Biological Sciences,Pharmacology,General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Mathematics,Immunology,General Neuroscience

Link

https://link.springer.com/content/pdf/10.1007/s11538-023-01213-9.pdf

Reference91 articles.

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3. Andrews TS, Atif J, Liu JC, Perciani CT, Ma X-Z, Thoeni C, Slyper M, Eraslan G, Segerstolpe A, Manuel J, Chung S, Winter E, Cirlan I, Khuu N, Fischer S, Rozenblatt-Rosen O, Regev A, McGilvray ID, Bader GD, MacParland SA (2022) Single-cell, single-nucleus, and spatial RNA sequencing of the human liver identifies cholangiocyte and mesenchymal heterogeneity. Hepatol Commun 6(4):821–840. https://doi.org/10.1002/hep4.1854

4. Barrio M, Burrage K, Leier A, Tian T (2006) Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation. PLOS Comput Biol 2(9):e117. https://doi.org/10.1371/journal.pcbi.0020117

5. Bhadana J, Chanu AL, Malik MZ, Singh RKB (2021) Noise and delay can shape distribution functions in stochastic reaction dynamics. Nonlinear Dyn 105(1):797–811. https://doi.org/10.1007/s11071-021-06643-5

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