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- Inferring Extrinsic Noise from Single-Cell Gene Expression Data Using Approximate Bayesian Computation
- Enhancement of Gene Expression Noise from Transcription Factor Binding to Genomic Decoy Sites Supravat Dey1 ✉ , Mohammad Soltani1 & Abhyudai Singh1,2,3,4 ✉
- Accounting for Extrinsic Variability in the Estimation of Stochastic Rate Constants
- A Frequency-Dependent Decoding Mechanism for Axonal Length Sensing
- 3 ′-5 ′ Crosstalk Contributes to Transcriptional Bursting
- Stochasticity of Cellular Growth: Sources, Propagation and Consequences Philipp Thomas,1, A) Guillaume Terradot,2, 3 Vincent Danos,2, 4, 5 and Andrea Y
- Noisy Signal Amplification in Ultrasensitive Signal Transduction
- Organelles – Understanding Noise and Heterogeneity in Cell Biology at an Intermediate Scale Amy Y
- Arxiv:1107.4499V2 [Q-Bio.CB] 1 Dec 2011
- Noise in Gene Expression Is Coupled to Growth Rate
- Nature, Nurture, Or Chance: Stochastic Gene Expression and Its Consequences
- Noise-Driven Cellular Heterogeneity in Circadian Periodicity
- From Regulatory Network to Spatial Patterning
- Learning and Inference with Single Cell Data
- Arxiv:2001.06773V1
- Epigenetics and Intangible Variation
- Stochastic Modeling and Statistical Inference of Intrinsic Noise in Gene Regulation System Via Chemical Master Equation
- Single Cell Genomics: from Phenomenology to Mechanism
- Noise in Biological Systems: Pros, Cons, and Mechanisms of Control
- Inferring Extrinsic Noise from Single-Cell Gene Expression Data Using Approximate Bayesian Computation