Topic: network-modelling Goto Github
Some thing interesting about network-modelling
Some thing interesting about network-modelling
network-modelling,TBN_learning is a MATLAB implemented hybrid algorithm for learning the structure of transcriptional Bayesian networks on a genome-wide scale.
User: esauta
network-modelling,Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
User: gemmagerber
network-modelling,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.
Organization: horizon-lead
network-modelling,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
Organization: horizon-lead
network-modelling,REplan provides a set of tools to ease the setup and simulation of grid expansion planning.
User: montefesp
network-modelling,TCL network simulation scripts in ns 2.35
User: nikolayshvedov
network-modelling,Riparian Condition Assessment Tools
Organization: riverscapes
Home Page: http://rcat.riverscapes.xyz/
network-modelling,COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
Organization: saezlab
Home Page: https://saezlab.github.io/cosmosR/
network-modelling,Actor-oriented and tie-based network event models in R
Organization: stocnet
Home Page: https://stocnet.github.io/goldfish/
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