What can be observed in real time PCR and when does it show?
From MaRDI portal
Publication:681657
DOI10.1007/s00285-017-1154-1zbMath1382.92217arXiv1609.07682OpenAlexW3105449224WikidataQ47781427 ScholiaQ47781427MaRDI QIDQ681657
Peter Jagers, Fima C. Klebaner, Pavel Chigansky
Publication date: 12 February 2018
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1609.07682
Point estimation (62F10) Population dynamics (general) (92D25) Protein sequences, DNA sequences (92D20) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)
Related Items
On the establishment of a mutant ⋮ An approximation of populations on a habitat with large carrying capacity ⋮ A minimally parametrized branching process explaining plateau phase of qPCR amplification ⋮ Persistence of small noise and random initial conditions ⋮ Populations with interaction and environmental dependence: From few, (almost) independent, members into deterministic evolution of high densities ⋮ Ancestral inference for branching processes in random environments and an application to polymerase chain reaction
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Confidence intervals for nonhomogeneous branching processes and polymerase chain reactions
- Population-dependent branching processes with a threshold
- Random variation and concentration effects in PCR
- Estimation of the reaction efficiency in polymerase chain reaction
- A simple, semi-deterministic approximation to the distribution of selective sweeps in large populations
- Escape from the boundary in Markov population processes
- On the emergence of random initial conditions in fluid limits
- Inference for Quantitation Parameters in Polymerase Chain Reactions via Branching Processes With Random Effects
- On joint detection and decoding of linear block codes on Gaussian vector channels
- Modelling the PCR amplification process by a size-dependent branching process and estimation of the efficiency
- Branching Processes
- Solutions of ordinary differential equations as limits of pure jump markov processes