Searching for "Machine learning in bioinformatics." – sorted by Relevance.
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Use of Machine Learning in Bioinformatics to Identify Prognostic and Predictive Molecular
- of this biological phenomenon. 1.1 Bioinformatics Context The use of machine learning methods [Mitchell, 1997; Hastie
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An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
- (APBC 2003) An empirical comparison of supervised machine learning techniques in bioinformatics Abstract
- Cited by 10 (2 self) – Add To MetaCart
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Machine Learning and its Application to Bioinformatics: An Overview
- Machine Learning and its Application to Bioinformatics: An Overview Aik Choon Tan*, David Gilbert
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Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation Of Explanatory Factors
- other domains of machine learning and clinical diagnostics. Yet array data are noisy, and have very
- Cited by 1 (0 self) – Add To MetaCart
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Approximation Algorithms for Clustering Problems
- , machine learning, and bioinformatics. Clustering problems have been extensively studied as optimization
- Cited by 12 (4 self) – Add To MetaCart
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Data Mining in
- in Bioinformatics Previous applications of data mining and machine learning to bioinformatics include gene finding
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TUTORIAL DESCRIPTION
- and teaching interests include Artificial Intelligence, Machine Learning, Bioinformatics, Computational
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EXPERIENCE
- .S. May '00 Expected Ph.D. Dec '06 Coursework Includes: Machine Learning Bioinformatics Computational
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Applications in Parallel MATLAB
- , and density estimation, and they have applications in SIP, machine learning, bioinformatics, and computational
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Associative clustering for exploring dependencies between functional genomics data sets
- . IEEE/ACM Transactions on Computational Biology and Bioinformatics. Special Issue on Machine Learning
- Cited by 6 (4 self) – Add To MetaCart

