Huimin Geng

According to our database1, Huimin Geng authored at least 16 papers between 2004 and 2009.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2009
A Computational Method to Predict DNA Copy Number Alterations from Gene Expression Data in Tumor Cases.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008
Message Passing Clustering (MPC): a knowledge-based framework for clustering under biological constraints.
Int. J. Data Min. Bioinform., 2008

A Hidden Markov Model approach to predicting yeast gene function from sequential gene expression data.
Int. J. Bioinform. Res. Appl., 2008

A Hidden Markov Model Approach for Prediction of Genomic Alterations from Gene Expression Profiling.
Proceedings of the Bioinformatics Research and Applications, 2008

2007
Dynamics of asynchronous random Boolean networks with asynchrony generated by stochastic processes.
Biosyst., 2007

Virtual CGH: Prediction of Novel Regions of Chromosomal Alterations in Tumor from Gene Expression Profiling.
Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007

2006
Joint Learning of Gene Functions - a Bayesian Network Model Approach.
J. Bioinform. Comput. Biol., 2006

Link test - A statistical method for finding prostate cancer biomarkers.
Comput. Biol. Chem., 2006

2005
A new clustering algorithm using message passing and its applications in analyzing microarray data.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference, 2005

Predicting Yeast Gene Function Based on Hidden Markov Models.
Proceedings of the 20th International Conference on Computers and Their Applications, 2005

On Clustering Biological Data Using Unsupervised and Semi-Supervised Message Passing.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

Message Passing Clustering with Stochastic Merging Based on Kernel Functions.
Proceedings of the A Conference on a Human Scale. 11th Americas Conference on Information Systems, 2005

A Dynamic Bayesian Network Model for Hierarchial Classification and its Application in Predicting Yeast Genes Functions.
Proceedings of the A Conference on a Human Scale. 11th Americas Conference on Information Systems, 2005

2004
A New Approach to Clustering Biological Data Using Message Passing.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004


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