Expectations: The expectation we have from participants is 1) that the data is not used past the hackathon without permission, 2) any result created is shared with the patient (Bill, who will keep it confidential until publication), and 3) if published, the publication acknowledges the researchers who created the data upon which the results are based.
Blog
2020 Kidney Cancer Hackathon: Bibliography
Readings
2020 Kidney Cancer Hackathon
Check out the Press Release
Organizing Silos of Patient information for Rare Disease Research
As described previously, it is difficult to do rare disease research since the data required to do so is scatted in multiple silos. Here we link to a
Federated Computing and Game Theory: Working Better Together
Secure Common Open Repositories
CancerCommons and PatientsLikeMe are two organizations which will take your patient data and make it available for research. In addition, below is a list of companies which will purportedly store and rent out your clinical and genomic data, and then give you a cut of the proceeds. Others are starting up.
2018 Kidney Cancer Hackathon: Continuing Projects
Some teams have said that they would like to continue their projects. Below is the list I have heard about plus team leads.
2018 Kidney Cancer Hackathon Results: Bill's p1RCC Genes
This cross references Alex Feltus and James Hsieh's work with Genes of interest from the Teams.
2018 Kidney Cancer Hackathon: Kidney Cancer Genes
Thanks to Alex Feltus for this curated list from James and his own work. Both James and Alex produced this list using data from TCGA.2018 Kidney Cancer Hackathon: Day 3 20180520
Presentations plus code referenced here:
Team