The Shmulevich Lab scored a nice feature in the day 2 keynote at Google I/O. (See video starting at about 40:25 and again at 46:05.) Their work on the The Cancer Genome Atlas (TCGA) was part of the introduction of Google Compute Engine.
Ilya and Hector are quoted in the case study, Cancer Investigators Use Google Compute Engine to Accelerate Life-Saving Research.
The machine learning component is a random forest application called RF-ACE and the visualization is circvis. More Shmulevich lab code can be found at Code for Systems Biology.
Congratulations. We have also been working with Google to supply cloud computing resources to people participating in Sage's predictive modeling challenge in breast cancer.
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