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Statistical Applications in Genetics and Molecular Biology|July 6, 2010
The generalized odds ratio as a measure of genetic risk effect in the analysis and meta-analysis of association studiesElias Zintzaras
Statistical Applications in Genetics and Molecular Biology|July 6, 2010
Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expressionZahra Montazeri, Corey M Yanofsky, David R Bickel
Statistical Applications in Genetics and Molecular Biology|October 5, 2010
Assessment of LD matrix measures for the analysis of biological pathway associationDavid R Crosslin, Xuejun Qin, Elizabeth R Hauser
Statistical Applications in Genetics and Molecular Biology|February 5, 2011
A Markov-chain model for the analysis of high-resolution enzymatically 18O-labeled mass spectraDirk Valkenborg, Tomasz Burzykowski
Statistical Applications in Genetics and Molecular Biology|February 5, 2011
Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discoveryCatherine Tuglus, Mark J van der Laan
Statistical Applications in Genetics and Molecular Biology|December 4, 2010
Predicting patient survival from longitudinal gene expressionYuping Zhang, Robert J Tibshirani, Ronald W Davis
Statistical Applications in Genetics and Molecular Biology|November 20, 2013
Bayesian clustering of DNA sequences using Markov chains and a stochastic partition modelVäinö Jääskinen, Ville Parkkinen, Lu Cheng, et al.
Statistical Applications in Genetics and Molecular Biology|March 2, 2016
A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome dataZhixiang Lin, Mingfeng Li, Nenad Sestan, et al.
Statistical Applications in Genetics and Molecular Biology|March 11, 2016
Resistant multiple sparse canonical correlationJacob Coleman, Joseph Replogle, Gabriel Chandler, et al.
Statistical Applications in Genetics and Molecular Biology|June 26, 2016
Bayesian state space models for dynamic genetic network construction across multiple tissuesYulan Liang, Arpad Kelemen
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