There are 1 repository under network-inference topic.
Algorithms for quantifying associations, independence testing and causal inference from data.
Context specific and dynamic gene regulatory network reconstruction and analysis
Bayesian network models for inferring core-periphery structure
Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics
Fast Inference of Networks from Directed Regulations
R package for inference in Bayesian networks.
An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity
A sample repo to help you intercept network with Selenium Java on LambdaTest cloud. Run your Java Selenium tests on LambdaTest platform.
Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning.
Network inference by fusing data from diverse distributions
SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.
KiMONo is a network inference tool for multi-omics datasets. The multi-omics network is calculated by sparse-group-LASSO regression and can incorporate prior biological information using protein-protein Interactions.
Hashing-based network discovery from time series
Transforming OWL for statistical learning
MATLAB module for assessing the causal links between time series
A prior-based integrative framework for functional transcriptional regulatory network inference (Fotuhi Siahpirani & Roy, Nucleic Acids Research 2017)
Implementation of time-varying graphical lasso from research paper (2019)
A constrained expectation-maximization algorithm for feasible graph inference.
Network inference for gene expression using gradient matching. Final research project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
Effect of hidden nodes on the reconstruction of bidirectional networks
Identifiability and experimental design in perturbation studies
This package implements a benchmarking of several gene network inference algorithms from gene expression data
The code of the paper "Pairwise-interactions-based Bayesian Inference of Network Structure from Cascades"
Model-free method for inferring synaptic interactions from spike train recordings.
Network inference via Event Space Linearization (ESL)
FASTEN: the software to influence multiple diffusion networks using the first-hand sharing pattern.