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Statistical Applications in Genetics and Molecular Biology|December 7, 2007
Estimating the arm-wise false discovery rate in array comparative genomic hybridization experimentsDaniel P Gaile, Elizabeth D Schifano, Jeffrey C Miecznikowski, et al.
Statistical Applications in Genetics and Molecular Biology|December 7, 2007
An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected childrenXiaohong Li, Andrea S Foulkes, Recai M Yucel, et al.
Statistical Applications in Genetics and Molecular Biology|April 4, 2008
Correcting the estimated level of differential expression for gene selection bias: application to a microarray studyDavid R Bickel
Statistical Applications in Genetics and Molecular Biology|May 9, 2013
An extension of the Wilcoxon-Mann-Whitney test for analyzing RT-qPCR dataJan De Neve, Olivier Thas, Jean-Pierre Ottoy, et al.
Statistical Applications in Genetics and Molecular Biology|June 27, 2013
Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptionsDavid R Bickel
Statistical Applications in Genetics and Molecular Biology|July 2, 2013
Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedureRunchu Zhang, Rahul Mukerjee
Statistical Applications in Genetics and Molecular Biology|December 18, 2012
An order estimation based approach to identify response genes for microarray time course dataZhiheng K Lu, O Brian Allen, Anthony F Desmond
Statistical Applications in Genetics and Molecular Biology|May 1, 2013
Exploring the sampling universe of RNA-seqStefanie Tauber, Arndt von Haeseler
Statistical Applications in Genetics and Molecular Biology|May 1, 2013
Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studiesLin Lin, Cliburn Chan, Sine R Hadrup, et al.
Statistical Applications in Genetics and Molecular Biology|May 1, 2013
Sensitivity to prior specification in Bayesian genome-based prediction modelsChristina Lehermeier, Valentin Wimmer, Theresa Albrecht, et al.
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