PLOS Computational Biology: Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

August 31, 2014

– apply to metabric consortium
– 17K clin feat. + ~50K gene exp. + ~30K CNVs ==to-predict==> 10yr survival – uses CI instead of AUC for real valued predictions
– combine collaboration & competition to beat the baseline (cox regression on only clinical features)
– mol. feat. on their own don’t work well due to the curse of dimensionality – features more important than the learning method

http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003047

Pandey mentions: Cancer Survival Analysis through
Competition-Based…Modeling, using Human #Ensembles
http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003047 #kdd2014