Inference of Epistatic Gene Networks
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Updated
Aug 25, 2014 - Python
Inference of Epistatic Gene Networks
Network inference by fusing data from diverse distributions
FASTEN: the software to influence multiple diffusion networks using the first-hand sharing pattern.
Code for Chasman et al, PLOS Comp Biol 2016.
SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.
Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics
REDUCE is an algorithm for optimal design of gene knock-out (KO) for the purpose of gene regulatory network (GRN) inference.
MATLAB module for assessing the causal links between time series
Python wrapper of the PC++ skeleton function
Network inference via Event Space Linearization (ESL)
Containers for notebooks and data where REGAIN has been used.
Effect of hidden nodes on the reconstruction of bidirectional networks
This package implements a benchmarking of several gene network inference algorithms from gene expression data
Hashing-based network discovery from time series
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.
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