activity
20172026
most citedComparing Three Notions of Discrete Ricci Curvature on Biological Networks

20 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Voronoi-Markov chain and spatial entropy for point pattern analysis

James C. Mathews, Francisco Couzo, Aleksandr Petrov +2

In this paper, we revisit the concept of entropy in the spatial context with the aim of deriving computable and interpretable metrics for point pattern analysis in domains such as…

cs.HC2023

Vis-SPLIT: Interactive Hierarchical Modeling for mRNA Expression Classification

Braden Roper, James C. Mathews, Saad Nadeem +1

We propose an interactive visual analytics tool, Vis-SPLIT, for partitioning a population of individuals into groups with similar gene signatures. Vis-SPLIT allows users to interac…

math.ST2021

An exact test for significance of clusters in binary data

James Mathews, Cameron Crowe, Rami Vanguri +3

Unsupervised clustering of feature matrix data is an indispensible technique for exploratory data analysis and quality control of experimental data. However, clusters are difficult…

q-bio.TO2019

Controlled and Uncontrolled Stochastic Norton-Simon-Massagué Tumor Growth Models

Zehor Belkhatir, Michele Pavon, James C. Mathews +4

Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variability. This study presents a stochastic extension of a biologically grounded tumo…

q-bio.MN2017★ 20 cited

Comparing Three Notions of Discrete Ricci Curvature on Biological Networks

Maryam Pouryahya, James Mathews, Allen Tannenbaum

In the present work, we study the properties of biological networks by applying analogous notions of fundamental concepts in Riemannian geometry and optimal mass transport to discr…