Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data
Here we present biVI, which combines the variational autoencoder framework of scVI with
biophysical models describing the transcription and splicing kinetics of RNA molecules. We …
biophysical models describing the transcription and splicing kinetics of RNA molecules. We …
Approximating solutions of the chemical master equation using neural networks
Summary The Chemical Master Equation (CME) provides an accurate description of
stochastic biochemical reaction networks in well-mixed conditions, but it cannot be solved …
stochastic biochemical reaction networks in well-mixed conditions, but it cannot be solved …
DelaySSAToolkit. jl: stochastic simulation of reaction systems with time delays in Julia
DelaySSAToolkit. jl is a Julia package for modelling reaction systems with non-Markovian
dynamics, specifically those with time delays. These delays implicitly capture multiple …
dynamics, specifically those with time delays. These delays implicitly capture multiple …
Transient and delay chemical master equations
The serial nature of reactions involved in the RNA life-cycle motivates the incorporation of
delays in models of transcriptional dynamics. The models couple a bursty or switching …
delays in models of transcriptional dynamics. The models couple a bursty or switching …
[كتاب][B] Stochastic foundations for single-cell RNA sequencing
G Gorin - 2023 - search.proquest.com
Single-cell RNA sequencing, which quantifies cell transcriptomes, has seen widespread
adoption, accompanied by proliferation of analysis methods. However, there has been …
adoption, accompanied by proliferation of analysis methods. However, there has been …