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A Bayesian approach for incorporating variable rates of heterogeneity in linkage analysis

Biswas, Swati; Lin, Shili - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 1341-1351

Persistent link: https://www.econbiz.de/10003406581

Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies

Lin, Shili; Ding, Jie - In: Biometrics 65 (2009) 1, pp. 9-18

Persistent link: https://www.econbiz.de/10010946415

Information Gain for Genetic Parameter Estimation with Incorporation of Marker Data

Luo, Yuqun; Lin, Shili - In: Biometrics 59 (2003) 2, pp. 393-401

Persistent link: https://www.econbiz.de/10010947609

Modeling and Analysis of Multi-Library, Multi-Group SAGE Data with Application to a Study of Mouse Cerebellum

Wang, Zailong; Lin, Shili; Popesco, Magdalena; Rotter, … - In: Biometrics 63 (2007) 3, pp. 777-786

Persistent link: https://www.econbiz.de/10010948369

Applications and Case Studies - A Bayesian Approach for Incorporating Variable Rates of Heterogeneity in Linkage Analysis

Biswas, Swati; Lin, Shili - In: Journal of the American Statistical Association : JASA 101 (2006) 476, pp. 1341-1351

Persistent link: https://www.econbiz.de/10007398023

A robust unified approach to analyzing methylation and gene expression data

Khalili, Abbas; Huang, Tim; Lin, Shili - In: Computational Statistics & Data Analysis 53 (2009) 5, pp. 1701-1710

Microarray technology has made it possible to investigate expression levels, and more recently methylation signatures, of thousands of genes simultaneously, in a biological sample. Since more and more data from different biological systems or technological platforms are being generated at an...

Persistent link: https://www.econbiz.de/10005130446

A Bayesian Approach for Incorporating Variable Rates of Heterogeneity in Linkage Analysis

Biswas, Swati; Lin, Shili - In: Journal of the American Statistical Association 101 (2006) December, pp. 1341-1351

Persistent link: https://www.econbiz.de/10005532801

Regularization in Finite Mixture of Regression Models with Diverging Number of Parameters

Khalili, Abbas; Lin, Shili - In: Biometrics 69 (2013) 2, pp. 436-446

Persistent link: https://www.econbiz.de/10010683900

Likelihood Approach for Detecting Imprinting and In Utero Maternal Effects Using General Pedigrees from Prospective Family-Based Association Studies

Yang, Jingyuan; Lin, Shili - In: Biometrics 68 (2012) 2, pp. 477-485

Persistent link: https://www.econbiz.de/10010683923

Logistic Bayesian LASSO for Identifying Association with Rare Haplotypes and Application to Age-Related Macular Degeneration

Biswas, Swati; Lin, Shili - In: Biometrics 68 (2012) 2, pp. 587-597

Persistent link: https://www.econbiz.de/10010684045