GitHub topics: model-recommendation
pitt-miskov-zivanov-lab/VIOLIN
VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.
Language: Python - Size: 289 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
pitt-miskov-zivanov-lab/FIDDLE
FIDDLE (Finding Interactions using Diagram Driven modeL Extension) is a tool to automatically assemble or extend models with the knowledge extracted from published literature. The two main methods developed as part of FIDDLE are called Breadth First Addition (BFA) and Depth First Addition (DFA), and they are based on network search algorithms.
Language: Python - Size: 10.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
pitt-miskov-zivanov-lab/CLARINET
CLARINET (CLARIfying NETworks) is a tool that equips modelers with a fast and reliable assistant to select the most relevant knowledge about the systems being modeled using graph-based approaches and literature occurrence metadata.
Language: Python - Size: 9.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0
pitt-miskov-zivanov-lab/ACCORDION
ACCORDION (ACCelerating and Optimizing model RecommenDatIONs) is a novel tool and methodology for rapid model assembly by automatically extending and evaluating dynamic network models with the information published in literature.
Language: Python - Size: 23 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
MarceloAtencio/Videogames_Project
Primer proyecto individual de HENRY
Language: Jupyter Notebook - Size: 208 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
