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View article: Machine learning‐based identification of general transcriptional predictors for plant disease
Machine learning‐based identification of general transcriptional predictors for plant disease Open
Summary This study investigated the generalizability of Arabidopsis thaliana immune responses across diverse pathogens, including Botrytis cinerea , Sclerotinia sclerotiorum , and Pseudomonas syringae , using a data‐driven, machine learnin…
View article: Analyzing Neural Network Robustness Using Graph Curvature
Analyzing Neural Network Robustness Using Graph Curvature Open
This paper presents a new look at the neural network (NN) robustness problem, from the point of view of graph theory analysis, specifically graph curvature. Graph curvature (e.g., Ricci curvature) has been used to analyze system dynamics a…
View article: A unified approach of detecting phase transition in time-varying complex networks
A unified approach of detecting phase transition in time-varying complex networks Open
Deciphering the non-trivial interactions and mechanisms driving the evolution of time-varying complex networks (TVCNs) plays a crucial role in designing optimal control strategies for such networks or enhancing their causal predictive capa…
View article: Machine learning general transcriptional predictors of plant disease
Machine learning general transcriptional predictors of plant disease Open
Plants utilize an innate immune system to defend against all classes of microbial invaders. While we understand specific genetic determinants of host-pathogen interactions, it remains less clear how generalized the immune response is to di…
View article: Inferring functional communities from partially observed biological networks exploiting geometric topology and side information
Inferring functional communities from partially observed biological networks exploiting geometric topology and side information Open
Cellular biological networks represent the molecular interactions that shape function of living cells. Uncovering the organization of a biological network requires efficient and accurate algorithms to determine the components, termed commu…
View article: Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks
Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks Open
Identification of community structures in complex network is of crucial importance for understanding the system’s function, organization, robustness and security. Here, we present a novel Ollivier-Ricci curvature (ORC) inspired approach to…