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Chi Y. Song, Ph.D.

Affiliations: 
2003 Ohio State University, Columbus, Columbus, OH 
Area:
Civil Engineering
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"Chi Song"
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William E. Wolfe grad student 2003 Ohio State
 (Numerical formulation for a dynamic analysis of the plastic behavior in saturated granular soils.)

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Publications

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Huo Z, Song C, Tseng G. (2019) BAYESIAN LATENT HIERARCHICAL MODEL FOR TRANSCRIPTOMIC META-ANALYSIS TO DETECT BIOMARKERS WITH CLUSTERED META-PATTERNS OF DIFFERENTIAL EXPRESSION SIGNALS. The Annals of Applied Statistics. 13: 340-366
Ma T, Huo Z, Kuo A, et al. (2018) MetaOmics: Analysis Pipeline and Browser-based Software Suite for Transcriptomic Meta-Analysis. Bioinformatics (Oxford, England)
Song C, Min X, Zhang H. (2016) THE SCREENING AND RANKING ALGORITHM FOR CHANGE-POINTS DETECTION IN MULTIPLE SAMPLES. The Annals of Applied Statistics. 10: 2102-2129
Song C, Zhang H. (2014) Comments on Fifty Years of Classification and Regression Trees. International Statistical Review = Revue Internationale De Statistique. 82: 359-361
Song C, Tseng GC. (2014) HYPOTHESIS SETTING AND ORDER STATISTIC FOR ROBUST GENOMIC META-ANALYSIS. The Annals of Applied Statistics. 8: 777-800
Song C, Zhang H. (2014) TARV: Tree-based Analysis of Rare Variants Identifying Risk Modifying Variants in CTNNA2 and CNTNAP2 for Alcohol Addiction Genetic Epidemiology. 38: 552-559
Xu Y, Wu Y, Song C, et al. (2013) Simulating realistic genomic data with rare variants. Genetic Epidemiology. 37: 163-72
Wang X, Kang DD, Shen K, et al. (2012) An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Bioinformatics (Oxford, England). 28: 2534-6
Wang X, Lin Y, Song C, et al. (2012) Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder. Bmc Bioinformatics. 13: 52
Mi Z, Shen K, Song N, et al. (2010) Module-based prediction approach for robust inter-study predictions in microarray data. Bioinformatics (Oxford, England). 26: 2586-93
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