Putting machine learning in the hands of cancer biologists.
Project Cognoma is collaborative project between the Greene Lab, the DataPhilly & the Code for Philly meetups, and anyone else who would like to participate. We're building a web application that will give cancer biologists an easy way to build and apply machine learning models.
On Tuesday July 26, we're meeting up at CandiDate (Floor 17 of 230 S Broad Street) from 6:00–8:30 PM. This meetup will split into groups and focus on making sure everyone leaves with a task they can work on. There will not be hack nights on August 2 or August 9, so this will be the last hack night for a few weeks.
On Tuesday July 19, we had a meetup, where we played with git/GitHub and teams began to define deliverables.
On July 12, CandiDate hosted a hack night for Project Cognoma. The meetup focused on project planning and team assembly. See the slides and notes for more information.
On July 5, we hosted a [datathon workshop](http://www.meetup.com/DataPhilly/events/232137908/"DataPhilly & Code for Python July 5 Datathon Meetup") introducing Neo4j and this project. @gwaygenomics presented the biological motivation behind Project Cognoma (slides) and @dhimmel discussed Hetionet and the Cypher query language (slides).
Thanks everyone who attended. The response, excitement, and diverse talents were highly encouraging. This following week, we'll work to hammer out project details including:
- information on contributing and getting involved
- a more detailed project outline
- specifications for the various project components
- a list of skillsets needed
- a higher-level description of project goals
Check back here for more details. In the meantime, feel free to open issues with feedback, suggestions, or questions. This is a community oriented project, so don't hesitate to chime in — you can introduce yourself here.
We're beginning to flesh out implementation details. Discuss the software architecture in Issue 5 and technical ideas in Issue 4. The following diagram is a draft of the project's software architecture:
