Results from the Cancer Biology game: The Cure

Posted by on Oct 29, 2012 in breast cancer, feature selection, games, genegames, gwaps, machine learning, sage, sulab, thecure | 0 comments 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.  The hypothesis underlying this work is that, by capturing knowledge in forms suitable for computation, these games make it...
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The Cure: Play Games, Defeat Cancer

Posted by on Sep 7, 2012 in cancer, games, genegames, machine learning, sulab, thecure | 0 comments 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 survival as described in the ongoing SAGE DREAM7 challenge.  The game is a simple (but very difficult), 2-player card game....
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Human Guided Forests – HGF

Posted by on Apr 6, 2012 in class prediction, classification, crowdsourcing, games, gwaps, hgf, machine learning, random forest, sulab | 0 comments 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.  Specifically, the idea is to replace the 'random' in the Random Forest algorithm with 'human'.Random Forests basically work like...
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