B. Sierra, E. Lazkano, J.M. Martinez-Otzeta, A. Astigarraga  Home/Search
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Abstract: In the last years, there has been a large growth in gene expression profiling technologies, which are expected to provide insight into cancer related cellular processes. Machine Learning algorithms, which are extensively applied in many areas of the real world, are not still popular in the Bioinformatics community. We report on the successful application of the combination of two supervised Machine Learning methods, Bayesian Networks and k Nearest Neighbours algorithms, to cancer class... (Update)
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BibTeX entry: (Update)
@misc{ sierra-combining,
author = "B. Sierra and E. Lazkano and J.M. Martinez-Otzeta and A. Astigarraga",
title = "Combining Bayesian Networks, k Nearest Neighbours algorithm and Attribute
Selection for Gene Expression Data",
url = "citeseer.ist.psu.edu/763369.html" }
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