4 citations · 9 across the 8 of their papers we have counts for
12 papers
Global redistribution and local migration in semi-discrete host-parasitoid population dynamic models
Brooks Emerick, Abhyudai Singh
Host-parasitoid population dynamics is often probed using a semi-discrete/hybrid modeling framework. Here, the update functions in the discrete-time model connecting year-to-year c…
Network Inference in Systems Biology: Recent Developments, Challenges, and Applications
Michael M. Saint-Antoine, Abhyudai Singh
One of the most interesting, difficult, and potentially useful topics in computational biology is the inference of gene regulatory networks (GRNs) from expression data. Although re…
Evaluating Pruning Methods in Gene Network Inference
Michael M. Saint-Antoine, Abhyudai Singh
One challenge in gene network inference is distinguishing between direct and indirect regulation. Some algorithms, including ARACNE and Phixer, approach this problem by using pruni…
The Linear-Noise Approximation and moment-closure approximations for stochastic chemical kinetics
Abhyudai Singh, Ramon Grima
This is a short review of two common approximations in stochastic chemical and biochemical kinetics. It will appear as Chapter 6 in the book "Quantitative Biology: Theory, Computat…
Estimating stationary characteristic functions of stochastic systems via semidefinite programming
Khem Raj Ghusinga, Andrew Lamperski, Abhyudai Singh
This paper proposes a methodology to estimate characteristic functions of stochastic differential equations that are defined over polynomials and driven by Lévy noise. For such sys…
Driving an Ornstein--Uhlenbeck Process to Desired First-Passage Time Statistics
Khem Raj Ghusinga, Vaibhav Srivastava, Abhyudai Singh
First-passage time (FPT) of an Ornstein-Uhlenbeck (OU) process is of immense interest in a variety of contexts. This paper considers an OU process with two boundaries, one of which…