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On Clustering Biological Data Using Unsupervised and Semi-Supervised Message Passing.

, , , and . BIBE, page 294-298. 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)Improved Lane Detection Network Based on Instance Segmentation., , and . CONF-CDS, page 40:1-40:5. ACM, (2021)Predicting Yeast Gene Function Based on Hidden Markov Models., , and . CATA, page 196-201. ISCA, (2005)Simultaneous estimation of detection sensitivity and absolute copy number from digital PCR serial dilution., , , , and . Comput. Biol. Chem., (2017)Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists., , and . BMC Bioinform., (2008)A Hidden Markov Model for Gene Function Prediction from Sequential Expression Data., and . CSB, page 670-671. IEEE Computer Society, (2004)On Clustering Biological Data Using Unsupervised and Semi-Supervised Message Passing., , , and . BIBE, page 294-298. IEEE Computer Society, (2005)Probability fold change: A robust computational approach for identifying differentially expressed gene lists., , , and . Comput. Methods Programs Biomed., 93 (2): 124-139 (2009)The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models., , , , , , , , , and 193 other author(s). Nat Biotechnol, 28 (8): 827--838 (August 2010)Joint Learning of Gene Functions - a Bayesian Network Model Approach., , and . J. Bioinform. Comput. Biol., 4 (2): 217-240 (2006)