M-quantile Regression Analysis of Temporal Gene Expression Data
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[1] Ana Conesa,et al. maSigPro: a Method to Identify Significantly Differential Expression Profiles in Time-Course Microarray Experiments , 2006, Spanish Bioinformatics Conference.
[2] Hai Hu,et al. Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots , 2006, Cancer informatics.
[3] Kui Wang,et al. A Mixture model with random-effects components for clustering correlated gene-expression profiles , 2006, Bioinform..
[4] Xuming He,et al. Detecting Differential Expressions in GeneChip Microarray Studies , 2007 .
[5] N. Tzavidis,et al. M-quantile models for small area estimation , 2006 .
[6] R. Koenker. Quantile Regression: Fundamentals of Quantile Regression , 2005 .
[7] Wenxuan Zhong,et al. Penalized Clustering of Large-Scale Functional Data With Multiple Covariates , 2008, 0801.2555.
[8] Christina Kendziorski,et al. Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions , 2006 .
[9] Xiaohui Liu,et al. An experimental evaluation of a loop versus a reference design for two-channel microarrays , 2005, Bioinform..
[10] T. Speed,et al. A multivariate empirical Bayes statistic for replicated microarray time course data , 2006, math/0702685.
[11] Jeffrey S. Simonoff,et al. Robust Weighted Lad Regression , 2005, Comput. Stat. Data Anal..
[12] David E. Tyler,et al. Constrained M-Estimation for Regression , 1996 .
[13] Z. Bai,et al. Robust Estimation Using the Huber Function With a Data-Dependent Tuning Constant , 2007 .
[14] Wenxuan Zhong,et al. A data-driven clustering method for time course gene expression data , 2006, Nucleic acids research.
[15] Hongzhe Li,et al. Clustering of time-course gene expression data using a mixed-effects model with B-splines , 2003, Bioinform..
[16] Adrian Bowman,et al. NON-PARAMETRIC ANALYSIS OF COVARIANCE , 1995 .
[17] K. Pearson. Biometrika , 1902, The American Naturalist.
[18] Keming Yu,et al. Bayesian median regression for temporal gene expression data , 2008 .
[19] John D. Storey,et al. Significance analysis of time course microarray experiments. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[20] Xuming He,et al. An Enhanced Quantile Approach for Assessing Differential Gene Expressions , 2008, Biometrics.
[21] Jeffrey T Leek,et al. The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments. , 2007, Biostatistics.
[22] Xiaohui Liu,et al. Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data , 2006, BMC Bioinformatics.
[23] Kellie J. Archer,et al. An application for assessing quality of RNA hybridized to Affymetrix GeneChips , 2006, Bioinform..
[24] Taesung Park,et al. Statistical tests for identifying differentially expressed genes in time-course microarray experiments , 2003, Bioinform..
[25] Jens Breckling,et al. A Measure of Production Performance , 1997 .
[26] Chao Yan,et al. Outlier analysis for gene expression data , 2008, Journal of Computer Science and Technology.
[27] Marianna Pensky,et al. Statistical Applications in Genetics and Molecular Biology A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments , 2011 .
[28] Frederick R. Forst,et al. On robust estimation of the location parameter , 1980 .