Jim C. Huang

eScience Group, Microsoft Research

	2011
12		Jim C. Huang, Nebojsa Jojic: Variable Selection through Correlation Sifting. RECOMB 2011: 106-123
11		Jim C. Huang, Brendan J. Frey: STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions. Handbook of Statistical Bioinformatics 2011: 109-134
10		Jim C. Huang, Brendan J. Frey: Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs. Journal of Machine Learning Research 12: 301-348 (2011)
	2010
9		Jim C. Huang, Nebojsa Jojic, Christopher Meek: Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS 2010: 874-882
8		Jim C. Huang, Nebojsa Jojic: Maximum-likelihood learning of cumulative distribution functions on graphs. Journal of Machine Learning Research - Proceedings Track 9: 342-349 (2010)
	2008
7		Jim C. Huang, Brendan J. Frey: Structured ranking learning using cumulative distribution networks. NIPS 2008: 697-704
6		Jim C. Huang, Brendan J. Frey, Quaid Morris: Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3. Pacific Symposium on Biocomputing 2008: 52-63
5		Jim C. Huang, Brendan J. Frey: Cumulative distribution networks and the derivative-sum-product algorithm. UAI 2008: 290-297
	2007
4		Jim C. Huang, Anitha Kannan, John M. Winn: Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. ISMB/ECCB (Supplement of Bioinformatics) 2007: 212-221
3		Jim C. Huang, Quaid Morris, Brendan J. Frey: Bayesian Inference of MicroRNA Targets from Sequence and Expression Data. Journal of Computational Biology 14(5): 550-563 (2007)
	2006
2		Jim C. Huang, Quaid Morris, Brendan J. Frey: Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data. RECOMB 2006: 114-129
	2005
1		Jim C. Huang, Quaid Morris, Timothy R. Hughes, Brendan J. Frey: GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data. ISMB (Supplement of Bioinformatics) 2005: 222-231

Coauthor Index

1	Brendan J. Frey	[1] [2] [3] [5] [6] [7] [10] [11]
2	Timothy R. Hughes	[1]
3	Nebojsa Jojic	[8] [9] [12]
4	Anitha Kannan	[4]
5	Christopher Meek	[9]
6	Quaid Morris	[1] [2] [3] [6]
7	John M. Winn	[4]

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