Context specific and dynamic gene regulatory network reconstruction and analysis

Bayesian network models for inferring core-periphery structure

A Python package for General Graphical Lasso computation

An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity

Network inference by fusing data from diverse distributions

Hashing-based network discovery from time series

Transforming OWL for statistical learning

Effect of hidden nodes on the reconstruction of bidirectional networks

Identifiability and experimental design in perturbation studies

Inference of Epistatic Gene Networks

Network inference via Event Space Linearization (ESL)

Model-free method for inferring synaptic interactions from spike train recordings.

The code of the paper "Pairwise-interactions-based Bayesian Inference of Network Structure from Cascades"

Implements the Cavity Method on a 1D Ising model, derives the Wigner semicircle law via Random Matrix Theory, and explores electron conduction in disordered systems using the Anderson model.

A network inference method based on a simple response logic with minimal presumptions