Huimin Geng

Publication Activity (10 Years)

Years Active: 2004-2009
Publications (10 Years): 0

Publications

Huimin Geng, Wing C. Chan, Hesham H. Ali
A Computational Method to Predict DNA Copy Number Alterations from Gene Expression Data in Tumor Cases. HICSS (2009)
Huimin Geng, Xutao Deng, Hesham H. Ali
Message Passing Clustering (MPC): a knowledge-based framework for clustering under biological constraints. Int. J. Data Min. Bioinform. 2 (2) (2008)
Xutao Deng, Huimin Geng, Hesham H. Ali
A Hidden Markov Model approach to predicting yeast gene function from sequential gene expression data. Int. J. Bioinform. Res. Appl. 4 (3) (2008)
Huimin Geng, Hesham H. Ali, Wing C. Chan
A Hidden Markov Model Approach for Prediction of Genomic Alterations from Gene Expression Profiling. ISBRA (2008)
Xutao Deng, Huimin Geng, Mihaela Teodora Matache
Dynamics of asynchronous random Boolean networks with asynchrony generated by stochastic processes. Biosyst. 88 (1-2) (2007)
Huimin Geng, Javeed Iqbal, Xutao Deng, Wing C. Chan, Hesham H. Ali
Virtual CGH: Prediction of Novel Regions of Chromosomal Alterations in Tumor from Gene Expression Profiling. HICSS (2007)
Xutao Deng, Huimin Geng, Dhundy Bastola, Hesham H. Ali
Link test - A statistical method for finding prostate cancer biomarkers. Comput. Biol. Chem. 30 (6) (2006)
Xutao Deng, Huimin Geng, Hesham H. Ali
Joint Learning of Gene Functions - a Bayesian Network Model Approach. J. Bioinform. Comput. Biol. 4 (2) (2006)
Xutao Deng, Huimin Geng, Hesham H. Ali
Predicting Yeast Gene Function Based on Hidden Markov Models. CATA (2005)
Huimin Geng, Xutao Deng, Hesham H. Ali
Message Passing Clustering with Stochastic Merging Based on Kernel Functions. AMCIS (2005)
Huimin Geng, Hesham H. Ali
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions. CSB Workshops (2005)
Huimin Geng, Xutao Deng, Dhundy Bastola, Hesham H. Ali
On Clustering Biological Data Using Unsupervised and Semi-Supervised Message Passing. BIBE (2005)
Xutao Deng, Huimin Geng, Hesham H. Ali
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks. CSB (2005)
Xutao Deng, Huimin Geng, Hesham H. Ali
A Dynamic Bayesian Network Model for Hierarchial Classification and its Application in Predicting Yeast Genes Functions. AMCIS (2005)
Huimin Geng, Xutao Deng, Hesham H. Ali
A new clustering algorithm using message passing and its applications in analyzing microarray data. ICMLA (2005)
Huimin Geng, Dhundy Bastola, Hesham H. Ali
A New Approach to Clustering Biological Data Using Message Passing. CSB (2004)