There are 2 repositories under network-modelling topic.
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
Course materials for module on modelling networks. John McLevey. 2024. Introduction to Computational Social Science with Python. GESIS Fall Seminar in Computational Social Science.
TBN_learning is a MATLAB implemented hybrid algorithm for learning the structure of transcriptional Bayesian networks on a genome-wide scale.
REplan provides a set of tools to ease the setup and simulation of grid expansion planning.
Updated version of the 2echelon model available in https://github.com/Horizon-LEAD/2echelon. Improved version that calculates 1echelon distribution networks and 2echelon distribution networks
TCL network simulation scripts in ns 2.35
PhD Thesis - Inferring effective cancer combination therapies using network-based multi-omics data integration
This repository contains assignment #1 that was completed as a part of "FIT5097 Business Intelligence Modelling", taught at Monash Uni in S2 2020.
Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
The model is based on Daganzo's distance estimation formula to provide last-mile logistics services operators with a rough estimation of the resources required for distributing in a specific zone. It returns the number of vehicles, the total distance drove and delivery time for distributing to all the nodes within the zone. The routes start and end in the same depot. The data required is the information about the depot (coordinates), the vehicle used (speed, capacity), the services and the delivery area dimension (m2) and centroid.