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Gene selection from microarray data for cancer classification - a machine learning approach.

, , , , , , and . Computational Biology and Chemistry, 29 (1): 37-46 (2005)

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Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning.. ICML, page 359-366. Morgan Kaufmann, (2000)Weka-A Machine Learning Workbench for Data Mining., , , , , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)Data mining in bioinformatics using Weka., , , , and . Bioinformatics, 20 (15): 2479-2481 (2004)Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 538-549. Springer, (2004)WEKA - A Machine Learning Workbench for Data Mining., , , , and . The Data Mining and Knowledge Discovery Handbook, Springer, (2005)Locally Weighted Naive Bayes., , and . UAI, page 249-256. Morgan Kaufmann, (2003)Logistic Model Trees., , and . Machine Learning, 59 (1-2): 161-205 (2005)Gene selection from microarray data for cancer classification - a machine learning approach., , , , , , and . Computational Biology and Chemistry, 29 (1): 37-46 (2005)WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j., , , , and . Knowl.-Based Syst., (2019)Speeding Up Logistic Model Tree Induction., , and . PKDD, volume 3721 of Lecture Notes in Computer Science, page 675-683. Springer, (2005)