Local false discovery rate facilitates comparison of different microarray experiments
暂无分享,去创建一个
[1] Yoav Benjamini,et al. Identifying differentially expressed genes using false discovery rate controlling procedures , 2003, Bioinform..
[2] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[3] A. Hartmann,et al. (www.interscience.wiley.com) DOI: 10.1002/path.2039 , 2006 .
[4] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[5] Rafael A. Irizarry,et al. A Model-Based Background Adjustment for Oligonucleotide Expression Arrays , 2004 .
[6] Gilbert Chu,et al. Portrait of transcriptional responses to ultraviolet and ionizing radiation in human cells. , 2004, Nucleic acids research.
[7] F. Curriero,et al. Expression of cytochromes P450 1A1 and 1B1 in human lung from smokers, non-smokers, and ex-smokers. , 2004, Toxicology and applied pharmacology.
[8] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[9] Debashis Ghosh,et al. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data , 2004, BMC Genomics.
[10] C. Gilks,et al. Antioxidant gene expression in rat lung after exposure to cigarette smoke. , 1998, The American journal of pathology.
[11] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[12] Eivind Hovig,et al. Stitchprofiles.uio.no: analysis of partly melted DNA conformations using stitch profiles , 2005, Nucleic Acids Res..
[13] Stephan Gebel,et al. Kinetics of gene expression profiling in Swiss 3T3 cells exposed to aqueous extracts of cigarette smoke. , 2002, Carcinogenesis.
[14] James O. Ramsay,et al. Applied Functional Data Analysis: Methods and Case Studies , 2002 .
[15] Rainer Spang,et al. twilight; a Bioconductor package for estimating the local false discovery rate , 2005, Bioinform..
[16] Kevin R. Coombes,et al. Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies , 2004, Bioinform..
[17] Yudi Pawitan,et al. Multidimensional local false discovery rate for microarray studies , 2006, Bioinform..
[18] Avrum Spira,et al. SIEGE: Smoking Induced Epithelial Gene Expression Database , 2004, Nucleic Acids Res..
[19] Nadarajah Vigneswaran,et al. Cigarette smoke condensate induces cytochromes P450 and aldo-keto reductases in oral cancer cells. , 2006, Toxicology letters.
[20] R J Edwards,et al. Expression of CYP1A1, CYP1B1 and CYP3A, and polycyclic aromatic hydrocarbon‐DNA adduct formation in bronchoalveolar macrophages of smokers and non‐smokers , 2000, International journal of cancer.
[21] Jean-Jacques Daudin,et al. Correction: Determination of the differentially expressed genes in microarray experiments using local FDR , 2005, BMC Bioinformatics.
[22] C. Li,et al. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[23] B. Efron. Large-Scale Simultaneous Hypothesis Testing , 2004 .
[24] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[25] Rafael A. Irizarry,et al. Stochastic models inspired by hybridization theory for short oligonucleotide arrays , 2004, J. Comput. Biol..
[26] Weichung Joe Shih,et al. A mixture model for estimating the local false discovery rate in DNA microarray analysis , 2004, Bioinform..
[27] John D. Storey. A direct approach to false discovery rates , 2002 .