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Feature selection algorithms to find strong genes.

P. Silva, R. Hashimoto, S. Kim, J. Barrera, L. de Oliveira Brandão, E. Suh, and E. Dougherty. Pattern Recognition Letters, 26 (10): 1444-1453 (2005)

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Gene Clustering Based on Clusterwide Mutual Information.X. Zhou, X. Wang, E. Dougherty, D. Russ, and E. Suh. Journal of Computational Biology, 11 (1): 147-161 (2004)Impact of error estimation on feature selection.C. Sima, S. Attoor, U. Braga-Neto, J. Lowey, E. Suh, and E. Dougherty. Pattern Recognition, 38 (12): 2472-2482 (2005)Genetic test bed for feature selection.A. Choudhary, M. Brun, J. Hua, J. Lowey, E. Suh, and E. Dougherty. Bioinformatics, 22 (7): 837-842 (2006)G-SQZ: compact encoding of genomic sequence and quality data.W. Tembe, J. Lowey, and E. Suh. Bioinformatics, 26 (17): 2192-2194 (2010)Statistical Comparison Framework and Visualization Scheme for Ranking-Based Algorithms in High-Throughput Genome-Wide Studies.W. Tembe, J. Pearson, N. Homer, J. Lowey, E. Suh, and D. Craig. Journal of Computational Biology, 16 (4): 565-577 (2009)Feature selection algorithms to find strong genes.P. Silva, R. Hashimoto, S. Kim, J. Barrera, L. de Oliveira Brandão, E. Suh, and E. Dougherty. Pattern Recognition Letters, 26 (10): 1444-1453 (2005)Optimal number of features as a function of sample size for various classification rules.J. Hua, Z. Xiong, J. Lowey, E. Suh, and E. Dougherty. Bioinformatics, 21 (8): 1509-1515 (2005)Analysis Software for High-density Pooled Genotyping Data.W. Tembe, N. Homer, S. Mitropanopoulos, M. Storey, S. Szelinger, M. Brun, M. Huentelman, E. Suh, D. Stephan, J. Lowey and 2 other author(s). BIOCOMP, page 188-194. CSREA Press, (2007)For the price of a song: How pitch category learning comes at a cost to absolute frequency representations.M. Dye, M. Ramscar, and E. Suh. CogSci, cognitivesciencesociety.org, (2011)Normalization Benefits Microarray-Based Classification.J. Hua, Y. Balagurunathan, Y. Chen, J. Lowey, M. Bittner, Z. Xiong, E. Suh, and E. Dougherty. EURASIP J. Bioinformatics and Systems Biology, (2006)

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Feature selection algorithms to find strong genes.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Feature selection algorithms to find strong genes.

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Feature selection algorithms to find strong genes.