Presented a short paper on machine learning algorithms at this year’s Information Society multiconference. It was a continuation of a project for my Machine Learning course. Prof. Bosnić and I looked at which feature selection techniques and which machine learning algorithms work best for gene microarray data, which has very few observations and many features (genes).
The most interesting finding was that genes that were predictive of one cancer were also predictive on other data sets with different types of cancer. Our paper can be found in the proceedings under the Intelligent Systems section (Volume A, pp. 17). More info at my research page.