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A new clustering algorithm using message passing and its applications in analyzing microarray data.

, , and . ICMLA, IEEE Computer Society, (2005)

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Message Passing Clustering (MPC): a knowledge-based framework for clustering under biological constraints., , and . Int. J. Data Min. Bioinform., 2 (2): 95-120 (2008)A New Approach to Clustering Biological Data Using Message Passing., , and . CSB, page 493-494. IEEE Computer Society, (2004)Predicting Yeast Gene Function Based on Hidden Markov Models., , and . CATA, page 196-201. ISCA, (2005)A Hidden Markov Model Approach for Prediction of Genomic Alterations from Gene Expression Profiling., , and . ISBRA, volume 4983 of Lecture Notes in Computer Science, page 414-425. Springer, (2008)On Clustering Biological Data Using Unsupervised and Semi-Supervised Message Passing., , , and . BIBE, page 294-298. IEEE Computer Society, (2005)Dynamics of asynchronous random Boolean networks with asynchrony generated by stochastic processes., , and . Biosyst., 88 (1-2): 16-34 (2007)A Dynamic Bayesian Network Model for Hierarchial Classification and its Application in Predicting Yeast Genes Functions., , and . AMCIS, page 332. Association for Information Systems, (2005)A new clustering algorithm using message passing and its applications in analyzing microarray data., , and . ICMLA, IEEE Computer Society, (2005)A Hidden Markov Model approach to predicting yeast gene function from sequential gene expression data., , and . Int. J. Bioinform. Res. Appl., 4 (3): 263-273 (2008)Link test - A statistical method for finding prostate cancer biomarkers., , , and . Comput. Biol. Chem., 30 (6): 425-433 (2006)