11 citations · 28 across the 7 of their papers we have counts for
8 papers
Nonlinear Multi-Objective Flux Balance Analysis of the Warburg Effect
Yi Zhang, Daniel Boley
Due to its implication in cancer treatment, the Warburg Effect has received extensive in silico investigation. Flux Balance Analysis (FBA), based on constrained optimization, was s…
On Fast Computation of Directed Graph Laplacian Pseudo-Inverse
Daniel Boley
The Laplacian matrix and its pseudo-inverse for a strongly connected directed graph is fundamental in computing many properties of a directed graph. Examples include random-walk ce…
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
Saurabh Agrawal, Michael Steinbach, Daniel Boley +5
In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system…
Random Walk Laplacian and Network Centrality Measures
Daniel Boley, Alejandro Buendia, Golshan Golnari
Random walks over directed graphs are used to model activities in many domains, such as social networks, influence propagation, and Bayesian graphical models. They are often used t…
Avoidance Markov Metrics and Node Pivotality Ranking
Golshan Golnari, Zhi-Li Zhang, Daniel Boley
We introduce the avoidance Markov metrics and theories which provide more flexibility in the design of random walk and impose new conditions on the walk to avoid (or transit) a spe…
Random Walk Fundamental Tensor and Its Applications to Network Analysis
Golshan Golnari, Zhi-Li Zhang, Daniel Boley
We first present a comprehensive review of various random walk metrics used in the literature and express them in a consistent framework. We then introduce fundamental tensor -- a…
Local Linear Convergence of ISTA and FISTA on the LASSO Problem
Shaozhe Tao, Daniel Boley, Shuzhong Zhang
We establish local linear convergence bounds for the ISTA and FISTA iterations on the model LASSO problem. We show that FISTA can be viewed as an accelerated ISTA process. Using a…
Incremental Computation of Pseudo-Inverse of Laplacian: Theory and Applications
Gyan Ranjan, Zhi-Li Zhang, Daniel Boley
A divide-and-conquer based approach for computing the Moore-Penrose pseudo-inverse of the combinatorial Laplacian matrix $(\bb L^+)$ of a simple, undirected graph is proposed. % Th…