OPEN SOURCE
genular is a community behind SIMON an open source Machine Learning KnowledgeDiscovery software, built by a vibrant community of people just like you! Join us and make SIMON even more cool!
VISUALIZE & ANALYZE
Exploratory analysis of machine learning results with help of many different visualization techniques will give you instant insights into models and data
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How to get started?
Getting started is easy! Join our community and help us make science more open and better! Just go to our GitHub page and follow installation instructions.
Join the genular Community
Join us on #genular on freenode.net Find us on Twitter under @genular or join us on forums
community forumsHelp with SIMON development!
Contribute code, make translations,
fix & report bugs, participate in development
more details
SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. Currently SIMON implements machine learning and statistical data discovery features that will help you to easily illustrate dynamic relationships and provide you with a structural sense of your data.
CHECK OUT DEMO (not latest / limited functionality)
Have question? Join us on forums!
Project Maintainers
genular is created and supported by a open source community of users, developers and enthusiasts from around the globe.
We are always welcoming you to join us and make scientific software more accessible to scientists and users across the globe!
Ivan
LogIN
Project founder, github maintainer
Adriana
atomic
Project founder, fixes & improvements all over the place, community
featured in
SIMON is featured in multiple news articles around the globe. Here are some of them:
Latest news from us & cool publications
Prediction and characterization of transcription factors involved in drought stress response
Transcription factors (TFs) play a central role in regulating molecular level responses of plants to external stresses such as water limiting conditions, but identification of such TFs in the genome[…]
Read moreIdentification of Stem Cells from Large Cell Populations with Topological Scoring
Machine learning and topological analysis methods are becoming increasingly used on various large-scale omics datasets. Modern high dimensional flow cytometry data sets share many features with other omics datasets like[…]
Read moreMachine Learning and Optimal Control of Enzyme Activities to Preserve Solvent Capacity in the Cell
Experimental measurements or computational model predictions of the post-translational regulation of enzymes needed in a metabolic pathway is a difficult problem. Consequently, regulation is mostly known only for well-studied reactions[…]
Read moreSIMON is used by more than 3,000 users around globe and its one of Most Read articles in The Journal of Immunology
Our Happy Sponsors
As a non-profit open source project we depend on generous support of our sponsors. If you wish to support us please contact us!
