A statistical method for identifying differential gene-gene co-expression patterns
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Liang Chen | Hongyu Zhao | Baolin Wu | Yinglei Lai | Hongyu Zhao | Baolin Wu | Liang Chen | Y. Lai
[1] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[2] D. Eisenberg,et al. A combined algorithm for genome-wide prediction of protein function , 1999, Nature.
[3] Tapio Visakorpi,et al. Molecular genetics of prostate cancer , 2001, Urology.
[4] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[5] S. Gygi,et al. Correlation between Protein and mRNA Abundance in Yeast , 1999, Molecular and Cellular Biology.
[6] 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.
[7] S. Shapiro,et al. An Analysis of Variance Test for Normality (Complete Samples) , 1965 .
[8] 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.
[9] B. Mishra,et al. Shrinkage-based similarity metric for cluster analysis of microarray data , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[10] Ker-Chau Li,et al. Genome-wide coexpression dynamics: Theory and application , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[11] Jean Y. J. Wang,et al. Coordinated regulation of life and death by RB , 2003, Nature Reviews Cancer.
[12] Xinbin Chen,et al. Mutant p53 exerts a dominant negative effect by preventing wild-type p53 from binding to the promoter of its target genes , 2004, Oncogene.
[13] P. Brown,et al. Yeast microarrays for genome wide parallel genetic and gene expression analysis. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[14] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[15] David E. Misek,et al. Discordant Protein and mRNA Expression in Lung Adenocarcinomas * , 2002, Molecular & Cellular Proteomics.
[16] W. Hahn,et al. Modelling the molecular circuitry of cancer , 2002, Nature Reviews Cancer.
[17] W. Isaacs,et al. Human prostate cancer precursors and pathobiology. , 2003, Urology.
[18] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[19] N. Perkins,et al. Active repression of antiapoptotic gene expression by RelA(p65) NF-kappa B. , 2004, Molecular cell.
[20] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[21] N. Perkins,et al. Active Repression of Antiapoptotic Gene Expression by RelA(p65) NF-κB , 2004 .
[22] E. Winzeler,et al. Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[23] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[24] J. Royston. An Extension of Shapiro and Wilk's W Test for Normality to Large Samples , 1982 .
[25] Xin Lu,et al. Live or let die: the cell's response to p53 , 2002, Nature Reviews Cancer.
[26] P. Brown,et al. Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.
[27] S. Loening,et al. Hepsin is highly over expressed in and a new candidate for a prognostic indicator in prostate cancer. , 2004, The Journal of urology.
[28] W. Isaacs,et al. For Personal Use. Only Reproduce with Permission from the Lancet Publishing Group. Pathological and Molecular Aspects of Prostate Cancer Prostate Cancer Ii , 2022 .