Quantifying and correcting bias in transcriptional parameter inference from single-cell data-Reference-Cited by-同舟云学术

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Quantifying and correcting bias in transcriptional parameter inference from single-cell data

Published:2024-01 Issue:1 Volume:123 Page:4-30
ISSN:0006-3495
Container-title:Biophysical Journal
language:en
Short-container-title:Biophysical Journal

Author:

Grima Ramon^ORCID,Esmenjaud Pierre-Marie

Funder

Leverhulme Trust

Publisher

Elsevier BV

Subject

Biophysics

Reference84 articles.

1. Markovian modeling of gene-product synthesis;Peccoud;Theor. Popul. Biol.,1995

2. Stochastic mRNA synthesis in mammalian cells;Raj;PLoS Biol.,2006

3. Single-RNA counting reveals alternative modes of gene expression in yeast;Zenklusen;Nat. Struct. Mol. Biol.,2008

4. Bursty gene expression in the intact mammalian liver;Bahar Halpern;Mol. Cell,2015

5. Genomic encoding of transcriptional burst kinetics;Larsson;Nature,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transcriptional bursting dynamics in gene expression;Frontiers in Genetics;2024-09-13

2. Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing;Cell Systems;2024-08

3. What can we learn when fitting a simple telegraph model to a complex gene expression model?;PLOS Computational Biology;2024-05-14

4. New and notable: Revisiting the “two cultures” through extrinsic noise;Biophysical Journal;2024-01

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