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Jim C. Huang Ph.D. Candidate Probabilistic and Statistical Inference Group Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto |
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I'm a Ph.D. student in the Probabilistic and Statistical Inference group. I am also affiliated with the Communications, Machine Learning and Computational Biology groups at the University of Toronto. My current research interests lie primarily at the intersection of machine learning and statistics with computational systems biology. I am interested in applications to problems involving complex high-dimensional data sets in fields such as genomics, population genetics and information retrieval.
Using expression profiling data to identify human microRNA targets
Joint work with the Gallie lab (Ontario Cancer Institute/Princess Margaret Hospital), Blencowe, Hughes and Morris labs (Banting and Best Department of Medical Research, University of Toronto)
Integrating functional genomics data with genetics to help understand human disease
Joint work with John Winn, Anitha Kannan (Microsoft Research Cambridge) and Richard Durbin, Manolis Dermitzakis (Wellcome Trust Sanger Institute)
J.C. Huang*, T. Babak*, T.W. Corson, G. Chua, S. Khan, B.L. Gallie, T.R. Hughes, B.J. Blencowe, B.J. Frey and Q.D. Morris (2007). Using expression profiling data to identify human microRNA targets.
Nature Methods 4(12): 1045-1049. (*Joint first authors)
J.C. Huang, A. Kannan and J. Winn (2007). Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations.
Bioinformatics 23:i212-221.
J.C. Huang, Q.D. Morris and B.J. Frey (2007). Bayesian inference of microRNA targets from sequence and expression data.
J. Comp. Bio. 14(5): 550-563.
J.C. Huang, Q.D. Morris and B.J. Frey (2006). Detecting microRNA targets by linking sequence, microRNA and gene expression data.
Lecture Notes in Computer Science, Springer-Verlag, 3909: 114-129.
J.C. Huang, Q.D. Morris, T.R. Hughes and B.J. Frey (2005). GenXHC: A probabilistic generative model for cross-hybridization compensation in high-density, genome-wide microarray data.
Bioinformatics 21:i222-i231.
J.C. Huang and B.J. Frey (2008). Cumulative distribution networks and the conditional propagation algorithm.
To appear at the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI),
Helsinki, Finland, July 9-12, 2008. (oral presentation)
J.C. Huang, B.J. Frey and Q.D. Morris (2008). Comparing sequence and expression for predicting microRNA targets using GenMiR3.
Pacific Symposium for Biocomputing (PSB) 13: 52-63,
Big Island, HI, January 4-8, 2008.
J.C. Huang, A. Kannan and J. Winn (2007). Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations.
Fifteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & Sixth European Conference on Computational Biology (ECCB),
Vienna, Austria, July 21-25, 2007. (oral presentation)
J.C. Huang, Q.D. Morris and B.J. Frey (2006). Detecting microRNA targets by linking sequence, microRNA and gene expression data.
Tenth Annual International Conference on Research in Computational Molecular Biology (RECOMB),
Venice, Italy, April 2-5, 2006. (oral presentation)
J.C. Huang, Q.D. Morris, T.R. Hughes and B.J. Frey (2005). GenXHC: A probabilistic generative model for cross-hybridization compensation in high-density, genome-wide microarray data.
Thirteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB),
Detroit, MI, June 25-29, 2005. (oral presentation)
J.C. Huang, D. Dueck, Q.D. Morris and B.J. Frey (2004). Iterative analysis of microarray data.
Forty-Second Annual Allerton Conference on Communication, Control and Computing,
Monticello, IL, Sep 29 - Oct 1, 2004.
J.C. Huang, Q.D. Morris and B.J. Frey (2005). A computational high-throughput method for detecting microRNA targets.
University of Toronto Technical Report PSI TR 2005-026, August 15, 2005.
J.C. Huang, Q.D. Morris, B.J. Frey (2004). Iterated conditional modes for cross-hybridization compensation in DNA microarray data.
University of Toronto Technical Report PSI TR 2004-031, October 6, 2004.
J.C. Huang, B.J. Frey and Q.D. Morris (2008). Comparing sequence and expression for predicting microRNA targets using GenMiR3.
Presented at the Pacific Symposium for Biocomputing (PSB),
Big Island, HI, January 4-8, 2008.
J.C. Huang, A. Kannan and J. Winn (2007). Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations.
Presented at the Fifteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & Sixth European Conference on Computational Biology (ECCB),
Vienna, Austria, July 21-25, 2007.
J.C. Huang, Q.D. Morris and B.J. Frey (2006). Computational discovery of microRNA regulatory networks in retinoblastoma from sequence and expression data.
Presented at the Sixth Cold Spring Harbor Laboratory/Wellcome Trust (CSHL/WT) Conference on Genome Informatics,
Hinxton, Cambridge, United Kingdom, September 13-17, 2006.
J.C. Huang, Q.D. Morris and B.J. Frey (2006). Detecting microRNA targets by linking sequence, microRNA and gene expression data.
Presented at the Tenth Annual International Conference on Research in Computational Molecular Biology (RECOMB),
Venice, Italy, April 2-5, 2006.
J.C. Huang, Q.D. Morris, T.R. Hughes and B.J. Frey (2005). GenXHC: A probabilistic generative model for cross-hybridization compensation in high-density, genome-wide microarray data.
Presented at the Thirteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB),
Detroit, MI, June 25-29, 2005.
J.C. Huang, Q.D. Morris, T.R. Hughes and B.J. Frey (2004). Detection and compensation of cross-hybridization in DNA microarray data.
Third Annual Information Processing Workshop,
Toronto, ON, August 8, 2004.