Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis
暂无分享,去创建一个
Yufei Huang | Yidong Chen | Mario Flores | Yu-Chiao Chiu | Eric Y. Chuang | Tzu-Hung Hsiao | Yufei Huang | Yidong Chen | T. Hsiao | E. Chuang | Yu-Chiao Chiu | Mario Flores
[1] Masao Nagasaki,et al. A Novel Network Profiling Analysis Reveals System Changes in Epithelial-Mesenchymal Transition , 2011, PloS one.
[2] Ralf Herwig,et al. Reverse Engineering of Gene Regulatory Networks: A Comparative Study , 2009, EURASIP J. Bioinform. Syst. Biol..
[3] R. Tibshirani,et al. Gene expression profiling identifies clinically relevant subtypes of prostate cancer. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[4] Chao Sima,et al. Inference of Gene Regulatory Networks Using Time-Series Data: A Survey , 2009, Current genomics.
[5] Heng-Yi Wu,et al. A modulator based regulatory network for ERα signaling pathway , 2012, BMC Genomics.
[6] Stuart A. Kauffman,et al. The origins of order , 1993 .
[7] F. Crick. Central Dogma of Molecular Biology , 1970, Nature.
[8] Sridhar Hannenhalli,et al. Mimosa: Mixture model of co-expression to detect modulators of regulatory interaction , 2009, Algorithms for Molecular Biology.
[9] Benjamin J. Raphael,et al. Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.
[10] Javed A. Aslam,et al. Models for metasearch , 2001, SIGIR '01.
[11] 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.
[12] Xiaodong Wang,et al. Gene Regulatory Network Reconstruction Using Conditional Mutual Information , 2008, EURASIP J. Bioinform. Syst. Biol..
[13] Chi-Ying F. Huang,et al. miRTarBase: a database curates experimentally validated microRNA–target interactions , 2010, Nucleic Acids Res..
[14] R. Tibshirani,et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[15] Chris Sander,et al. Discovering modulators of gene expression , 2010, Nucleic acids research.
[16] Wei Niu,et al. Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data , 2011, PLoS Comput. Biol..
[17] Marco Grzegorczyk,et al. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks , 2006, Bioinform..
[18] Joshua M. Korn,et al. Comprehensive genomic characterization defines human glioblastoma genes and core pathways , 2008, Nature.
[19] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[20] Alvis Brazma,et al. Current approaches to gene regulatory network modelling , 2007, BMC Bioinformatics.
[21] Mariano J. Alvarez,et al. Genome-wide Identification of Post-translational Modulators of Transcription Factor Activity in Human B-Cells , 2009, Nature Biotechnology.
[22] Min Chen,et al. Comparing Statistical Methods for Constructing Large Scale Gene Networks , 2012, PloS one.
[23] Xuerui Yang,et al. An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma , 2011, Cell.
[24] Philip M. Long,et al. Breast cancer classification and prognosis based on gene expression profiles from a population-based study , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[25] D. Bartel,et al. Computational identification of plant microRNAs and their targets, including a stress-induced miRNA. , 2004, Molecular cell.
[26] Bertram Klinger,et al. Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS , 2012, Molecular systems biology.
[27] Yufei Huang,et al. A Bayesian decision fusion approach for microRNA target prediction , 2010, BCB '10.
[28] Edward R. Dougherty,et al. Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks , 2002, Bioinform..
[29] M. Piccart,et al. The contribution of molecular markers to the prediction of response in the treatment of breast cancer: a review of the literature on HER-2, p53 and BCL-2. , 2000, Annals of oncology : official journal of the European Society for Medical Oncology.
[30] J. Dering,et al. Recent translational research: microarray expression profiling of breast cancer – beyond classification and prognostic markers? , 2004, Breast Cancer Research.
[31] Wei-Po Lee,et al. Computational methods for discovering gene networks from expression data , 2009, Briefings Bioinform..
[32] Steen Knudsen. Reverse Engineering of Regulatory Networks , 2005 .
[33] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumors , 2012, Nature.
[34] D. Hanahan,et al. The Hallmarks of Cancer , 2000, Cell.
[35] Edward R. Dougherty,et al. Coefficient of determination in nonlinear signal processing , 2000, Signal Process..
[36] Xiaohui Chen,et al. BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network. , 2006, Bioinformatics.
[37] Clifford A. Meyer,et al. Genome-wide analysis of estrogen receptor binding sites , 2006, Nature Genetics.
[38] Ferdinando Di Cunto,et al. Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs , 2011, Cell.
[39] D. Bartel. MicroRNAs: Target Recognition and Regulatory Functions , 2009, Cell.
[40] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[41] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.
[42] Joshua M. Stuart,et al. A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules , 2003, Science.
[43] Sven Bilke,et al. The gene expression response of breast cancer to growth regulators: patterns and correlation with tumor expression profiles. , 2003, Cancer research.
[44] E. Mardis. Next-generation DNA sequencing methods. , 2008, Annual review of genomics and human genetics.
[45] E. Dougherty,et al. Multivariate measurement of gene expression relationships. , 2000, Genomics.
[46] Antonio Reverter,et al. A Differential Wiring Analysis of Expression Data Correctly Identifies the Gene Containing the Causal Mutation , 2009, PLoS Comput. Biol..
[47] D. Dang,et al. Oncogenic KRAS modulates mitochondrial metabolism in human colon cancer cells by inducing HIF-1α and HIF-2α target genes , 2010, Molecular Cancer.
[48] Dong Yue,et al. Understanding MicroRNA Regulation: A computational perspective , 2012, IEEE Signal Processing Magazine.
[49] J. Frasor,et al. Selective Estrogen Receptor Modulators , 2004, Cancer Research.
[50] Adam A. Margolin,et al. Reverse engineering of regulatory networks in human B cells , 2005, Nature Genetics.
[51] Dong Yue,et al. Improving performance of mammalian microRNA target prediction , 2010, BMC Bioinformatics.
[52] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumours , 2013 .
[53] Yadong Wang,et al. A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer , 2011, BMC Systems Biology.
[54] Chris Wiggins,et al. ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context , 2004, BMC Bioinformatics.