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Arpad Kelemen

Affiliations: 
Neurology Buffalo Neuroimaging Analysis Center, USA 
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"Arpad Kelemen"
Bio:

Department of Neurology, Buffalo Neuroimaging Analysis Center, The Jacobs Neurological Institute, University at Buffalo, The State University of New York, 100 High Street, Buffalo, NY 14203, USA

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Stanley P. Franklin grad student 2002 The University of Memphis (Robotree)

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Liang Y, Kelemen A. (2017) Computational dynamic approaches for temporal omics data with applications to systems medicine. Biodata Mining. 10: 20
Liang Y, Kelemen A. (2017) Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications. Briefings in Bioinformatics
Liang Y, Kelemen A. (2016) Bayesian state space models for dynamic genetic network construction across multiple tissues. Statistical Applications in Genetics and Molecular Biology
Liang Y, Kelemen A. (2009) Bayesian finite Markov mixture model for temporal multi-tissue polygenic patterns. Biometrical Journal. Biometrische Zeitschrift. 51: 56-69
Liang Y, Kelemen A. (2008) Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration. Bmc Bioinformatics. 9: 354
Liang Y, Kelemen A. (2008) Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases Statistics Surveys. 2: 43-60
Liang Y, Kelemen A. (2007) Bayesian state space models for inferring and predicting temporal gene expression profiles. Biometrical Journal. Biometrische Zeitschrift. 49: 801-14
Liang Y, Kelemen A, Tayo B. (2007) Model-based or algorithm-based? Statistical evidence for diabetes and treatments using gene expression. Statistical Methods in Medical Research. 16: 139-53
Liang Y, Kelemen A. (2006) Associating phenotypes with molecular events: recent statistical advances and challenges underpinning microarray experiments. Functional & Integrative Genomics. 6: 1-13
Liang Y, Kelemen A. (2005) Temporal gene expression classification with regularised neural network. International Journal of Bioinformatics Research and Applications. 1: 399-413
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