by bgood | Mar 21, 2014 | breast cancer, crowdsourcing, games, genegames, grant, gwaps, machine learning, NIH, r21, sulab, thecure
Last November, Andrew and I submitted an R21 proposal for consideration by the NIH. Today, we received the summary statement. Since a lot of work went into writing it, I feel compelled to share it regardless of whether its ever funded (which currently...
by bgood | Oct 29, 2012 | breast cancer, feature selection, games, genegames, gwaps, machine learning, sage, sulab, thecure
Building intelligent systems for biologyOur research group has been exploring the concept of serious games for several months now. Aside from providing nerdy entertainment, our games collect (and distribute) biological knowledge from broad audiences of players....
by bgood | Sep 7, 2012 | cancer, games, genegames, machine learning, sulab, thecure
Today we released a new game on genegames.org called The Cure. The driving biological problem is to identify gene sets that can be used to build better predictors of breast cancer prognosis. Specifically we are looking for genes that can be used to predict...
by bgood | Apr 6, 2012 | class prediction, classification, crowdsourcing, games, gwaps, hgf, machine learning, random forest, sulab
Yesterday I posted some slides about an idea I had recently which I call Human Guided Forests or HGF for short. This an attempt to marry crowdsourcing with machine learning to produce better class predictors for datasets with very large features spaces....
