Yulan Liang, Ph.D.
Affiliations: | 2003 | The University of Memphis, Memphis, TN, United States |
Area:
Statistics, Biostatistics Biology, Computer ScienceGoogle:
"Yulan Liang"Parents
Sign in to add mentorEbenezer O. George | grad student | 2003 | The University of Memphis | |
(Gene expression temporal patterns classification with hierarchical Bayesian neural networks and time lagged recurrent neural networks.) |
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Publications
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Liang Y, Kelemen A, Kelemen A. (2019) Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies. Statistical Applications in Genetics and Molecular Biology. 18 |
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. (2011) Sequential Support Vector Regression with Embedded Entropy for SNP Selection and Disease Classification. Statistical Analysis and Data Mining. 4: 301-312 |
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 |