Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures
暂无分享,去创建一个
Pedro Larrañaga | Iñaki Inza | Borja Calvo | Asier Fullaondo | Rubén Armañanzas | Irantzu Bernales | Ana M. Zubiaga | Marcos López-Hoyos | Víctor Martínez-Taboada | Eduardo Ucar | Iñaki Inza | P. Larrañaga | Borja Calvo | A. Fullaondo | M. López-Hoyos | Rubén Armañanzas | V. Martínez-Taboada | A. Zubiaga | I. Bernales | E. Ucar | R. Armañanzas
[1] Concha Bielza,et al. Machine Learning in Bioinformatics , 2008, Encyclopedia of Database Systems.
[2] Virginia Pascual,et al. Interferon and Granulopoiesis Signatures in Systemic Lupus Erythematosus Blood , 2003, The Journal of experimental medicine.
[3] M. Aringer,et al. Tumour necrosis factor and other proinflammatory cytokines in systemic lupus erythematosus: a rationale for therapeutic intervention , 2004, Lupus.
[4] F. Tsai,et al. Polymorphisms of TAP1 transporter genes in Chinese patients with systemic lupus erythematosus in Taiwan , 2004, Rheumatology International.
[5] S. Koskenmies. Mapping of susceptibility genes for systemic lupus erythematosus (SLE) , 2004 .
[6] Xiaohui Liu,et al. Consensus clustering and functional interpretation of gene-expression data , 2004, Genome Biology.
[7] Liang Xie,et al. Cyclophilin A Is a Proinflammatory Cytokine that Activates Endothelial Cells , 2004, Arteriosclerosis, thrombosis, and vascular biology.
[8] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[9] S. Iliceto,et al. The Diagnosis of the Antiphospholipid Syndrome , 2006, Pathophysiology of Haemostasis and Thrombosis.
[10] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[11] Stefan Michiels,et al. Prediction of cancer outcome with microarrays: a multiple random validation strategy , 2005, The Lancet.
[12] J. Harley,et al. Meta-analysis of TNF-α promoter −308 A/G polymorphism and SLE susceptibility , 2006, European Journal of Human Genetics.
[13] R. H. Scofield,et al. Genetic knock out of 60kD Ro (or SSA), a common lupus autoantigen, induces lupus. , 2004, Trends in immunology.
[14] J. Sánchez-Román,et al. Clinical significance of anti-multiple nuclear dots/Sp100 autoantibodies. , 2003, Scandinavian journal of gastroenterology.
[15] Richard Baumgartner,et al. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions , 2003, Bioinform..
[16] C. Johansson. Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1365 Exploring the Genetics of SLE with Linkage and Association Analysis , 2004 .
[17] G. Peltz,et al. Evidence for an interferon-inducible gene, Ifi202, in the susceptibility to systemic lupus. , 2001, Immunity.
[18] J. Nevins,et al. The Rb/E2F pathway and cancer. , 2001, Human molecular genetics.
[19] Timothy W Behrens,et al. Gene expression profiling in human autoimmunity , 2006, Immunological reviews.
[20] D. Wallace,et al. Dubois' Lupus Erythematosus , 1987 .
[21] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[22] Weihong Yan,et al. Expression-based monitoring of transcription factor activity: the TELiS database , 2005, Bioinform..
[23] M. Greenberg,et al. Mutation of E2F2 in mice causes enhanced T lymphocyte proliferation, leading to the development of autoimmunity. , 2001, Immunity.
[24] Jill P. Mesirov,et al. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data , 2003, Machine Learning.
[25] J. Rathmell,et al. Mitochondria, cell death, and B cell tolerance. , 2006, Current directions in autoimmunity.
[26] G. Burmester,et al. Strategies using functional genomics in rheumatic diseases. , 2004, Autoimmunity reviews.
[27] H. B. Mann,et al. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .
[28] Gopal Kanji,et al. 100 Statistical Tests , 1994 .
[29] B. Efron. Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .
[30] Pedro Larrañaga,et al. Filter versus wrapper gene selection approaches in DNA microarray domains , 2004, Artif. Intell. Medicine.
[31] J. Morrison,et al. Genome-wide screen for systemic lupus erythematosus susceptibility genes in multiplex families. , 1999, Human molecular genetics.
[32] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[33] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[34] D. Lockhart,et al. Expression monitoring by hybridization to high-density oligonucleotide arrays , 1996, Nature Biotechnology.
[35] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[36] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[37] Jerry Li,et al. Within the fold: assessing differential expression measures and reproducibility in microarray assays , 2002, Genome Biology.
[38] Eibe Frank,et al. Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms , 2004, PAKDD.
[39] Yoshua Bengio,et al. Inference for the Generalization Error , 1999, Machine Learning.
[40] C. Mohan,et al. PI3K/AKT signaling and systemic autoimmunity , 2005, Immunologic research.
[41] J. Anaya,et al. TAP1 and TAP2 polymorphisms analysis in northwestern Colombian patients with systemic lupus erythematosus , 2003, Annals of the rheumatic diseases.
[42] T. Darden,et al. Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method , 2002 .
[43] Ian Witten,et al. Data Mining , 2000 .
[44] Jason Catlett,et al. On Changing Continuous Attributes into Ordered Discrete Attributes , 1991, EWSL.
[45] H. Hsu,et al. Tumor necrosis factor ligand-receptor superfamily and arthritis. , 2006, Current directions in autoimmunity.
[46] R. Watson,et al. Drug-induced, Ro/SSA-positive cutaneous lupus erythematosus. , 2003, Archives of dermatology.
[47] Luis Soares,et al. An array of possibilities for the study of autoimmunity , 2005, Nature.
[48] Constantin F. Aliferis,et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis , 2004, Bioinform..
[49] D. Feng,et al. IEEE transactions on information technology in biomedicine: special issue on advances in clinical and health-care knowledge management , 2005 .
[50] P. Gregersen,et al. Genetics of autoimmune diseases — disorders of immune homeostasis , 2006, Nature Reviews Genetics.
[51] Joaquín Dopazo,et al. BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments , 2006, Nucleic Acids Res..
[52] D. Alarcón-Segovia,et al. Shared autoimmunity: The time has come , 2004, Current rheumatology reports.
[53] S. Tapscott,et al. MyoD and the transcriptional control of myogenesis. , 2005, Seminars in cell & developmental biology.
[54] T. Bayes. An essay towards solving a problem in the doctrine of chances , 2003 .
[55] T. Horiuchi,et al. Increased expression of membrane TNF-alpha on activated peripheral CD8+ T cells in systemic lupus erythematosus. , 2006, International journal of molecular medicine.
[56] D. Sackett,et al. Derivation of the SLEDAI. A disease activity index for lupus patients. The Committee on Prognosis Studies in SLE. , 1992, Arthritis and rheumatism.
[57] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[58] Jae Won Lee,et al. An extensive comparison of recent classification tools applied to microarray data , 2004, Comput. Stat. Data Anal..
[59] L. A. Smith,et al. Feature Subset Selection: A Correlation Based Filter Approach , 1997, ICONIP.
[60] J. Harley,et al. Meta-analysis of TNF-alpha promoter -308 A/G polymorphism and SLE susceptibility. , 2006, European journal of human genetics : EJHG.
[61] R. Kimberly,et al. Genetics of susceptibility and severity in systemic lupus erythematosus , 2005, Current opinion in rheumatology.
[62] D. Kibler,et al. Instance-based learning algorithms , 2004, Machine Learning.
[63] Moshe Ben-Bassat,et al. 35 Use of distance measures, information measures and error bounds in feature evaluation , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.
[64] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[65] S. Dudoit,et al. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS , 2002 .
[66] A. Achiron,et al. Autoimmunity gene expression portrait: specific signature that intersects or differentiates between multiple sclerosis and systemic lupus erythematosus , 2004, Clinical and experimental immunology.
[67] J. O. Thomas,et al. Antibodies to histones in systemic lupus erythematosus: localization of prominent autoantigens on histones H1 and H2B. , 1983, Proceedings of the National Academy of Sciences of the United States of America.
[68] D. Isenberg,et al. Anti La(SSB) identifies a distinctive subgroup of systemic lupus erythematosus. , 1988, British journal of rheumatology.
[69] John Quackenbush,et al. Microarray gene expression data analysis - a beginner's guide , 2003 .
[70] Sholom M. Weiss,et al. Computer Systems That Learn , 1990 .
[71] B. Tsao. The genetics of human systemic lupus erythematosus. , 2003, Trends in immunology.
[72] Jeremy Luban,et al. Cyclophilin A Interacts with HIV-1 Vpr and Is Required for Its Functional Expression* , 2003, Journal of Biological Chemistry.
[73] A. Krensky,et al. Granulysin, a Cytolytic Molecule, Is Also a Chemoattractant and Proinflammatory Activator 1 , 2005, The Journal of Immunology.
[74] Randy Kerber,et al. ChiMerge: Discretization of Numeric Attributes , 1992, AAAI.
[75] Edward R. Dougherty,et al. Is cross-validation valid for small-sample microarray classification? , 2004, Bioinform..
[76] G. Karypis,et al. Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus , 2003, Proceedings of the National Academy of Sciences of the United States of America.