Introduction to genomic and proteomic data analysis
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[1] P. O’Farrell. High resolution two-dimensional electrophoresis of proteins. , 1975, The Journal of biological chemistry.
[2] Tao Li,et al. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression , 2004, Bioinform..
[3] Jeffrey S. Morris,et al. Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments , 2004, Bioinform..
[4] I. Dawid,et al. Differential gene expression in the gastrula of Xenopus laevis. , 1983, Science.
[5] D. Hirschberg,et al. Small sample statistics for classi cation error rates II: Con-dence intervals and signi cance tests , 1995 .
[6] A. K. Pujari,et al. Data Mining Techniques , 2006 .
[7] Brian D. Ripley,et al. Pattern Recognition and Neural Networks , 1996 .
[8] D. E. Moody. Genomics techniques: An overview of methods for the study of gene expression , 2001 .
[9] P. Johansson,et al. Improving missing value imputation of microarray data by using spot quality weights , 2006, BMC Bioinformatics.
[10] D. Botstein,et al. Missing Value Estimation , 2003 .
[11] Thomas G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.
[12] B. Honoré,et al. Functional genomics studied by proteomics. , 2004, BioEssays : news and reviews in molecular, cellular and developmental biology.
[13] Richard Baumgartner,et al. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions , 2003, Bioinform..
[14] Steven Salzberg,et al. On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach , 1997, Data Mining and Knowledge Discovery.
[15] Roland Somogyi,et al. Genetic network inference , 2000 .
[16] Aaron P. Campbell,et al. Suppression subtractive hybridization: a method for generating differentially regulated or tissue-specific cDNA probes and libraries. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[17] Richard M. Simon,et al. A Paradigm for Class Prediction Using Gene Expression Profiles , 2003, J. Comput. Biol..
[18] K. Kinzler,et al. Serial Analysis of Gene Expression , 1995, Science.
[19] S. Weinberger,et al. Current developments in SELDI affinity technology. , 2004, Mass spectrometry reviews.
[20] Werner Dubitzky,et al. Avoiding model selection bias in small-sample genomic datasets , 2006, Bioinform..
[21] D. Botstein,et al. Singular value decomposition for genome-wide expression data processing and modeling. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[22] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[23] Richard Simon,et al. Roadmap for developing and validating therapeutically relevant genomic classifiers. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[24] M. Karas,et al. Matrix-assisted ultraviolet laser desorption of non-volatile compounds , 1987 .
[25] H. Levene. Robust tests for equality of variances , 1961 .
[26] Joshua M. Stuart,et al. MICROARRAY EXPERIMENTS : APPLICATION TO SPORULATION TIME SERIES , 1999 .
[27] S. Lorkowski,et al. Analysing gene expression : a handbook of methods : possibilities and pitfalls , 2003 .
[28] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[29] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[30] Richard Simon,et al. Supervised analysis when the number of candidate features (p) greatly exceeds the number of cases (n) , 2003, SKDD.
[31] H R Hoogenboom,et al. Antibody phage display technology and its applications. , 1998, Immunotechnology : an international journal of immunological engineering.
[32] W. G. Cochran. Problems arising in the analysis of a series of similar experiments , 1937 .
[33] W. Kruskal,et al. Use of Ranks in One-Criterion Variance Analysis , 1952 .
[34] K. Manly,et al. Genomics, prior probability, and statistical tests of multiple hypotheses. , 2004, Genome research.
[35] M. Bartlett. Properties of Sufficiency and Statistical Tests , 1992 .
[36] Y. Hochberg. A sharper Bonferroni procedure for multiple tests of significance , 1988 .
[37] Angelika Görg,et al. Two-dimensional electrophoresis , 1991 .
[38] B. L. Welch. ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH , 1951 .
[39] Eibe Frank,et al. Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms , 2004, PAKDD.
[40] Yoshua Bengio,et al. Inference for the Generalization Error , 1999, Machine Learning.
[41] Gavin MacBeath,et al. Protein microarrays and proteomics , 2002, Nature Genetics.
[42] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[43] Conjugate Distributions for Incomplete Observations , 1974 .
[44] Joachim Klose,et al. Two‐dimensional electrophoresis of proteins: An updated protocol and implications for a functional analysis of the genome , 1995, Electrophoresis.
[45] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[46] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[47] J. Fenn,et al. Electrospray ion source: another variation on the free-jet theme , 1984 .
[48] M. Ünlü,et al. Difference gel electrophoresis. A single gel method for detecting changes in protein extracts , 1997, Electrophoresis.
[49] Erica A Golemis,et al. From correlation to causality: microarrays, cancer, and cancer treatment. , 2003, BioTechniques.
[50] Geoffrey J McLachlan,et al. Selection bias in gene extraction on the basis of microarray gene-expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[51] G. Glish,et al. The basics of mass spectrometry in the twenty-first century , 2003, Nature Reviews Drug Discovery.
[52] Y. Hod,et al. A simplified ribonuclease protection assay. , 1992, BioTechniques.
[53] Constantin F. Aliferis,et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis , 2004, Bioinform..
[54] Thomas P Conrads,et al. The SELDI-TOF MS approach to proteomics: protein profiling and biomarker identification. , 2002, Biochemical and biophysical research communications.
[55] Michael J. A. Berry,et al. Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.
[56] S. Holm. A Simple Sequentially Rejective Multiple Test Procedure , 1979 .
[57] S. Fields,et al. A novel genetic system to detect proteinprotein interactions , 1989, Nature.
[58] Morton B. Brown,et al. Robust Tests for the Equality of Variances , 1974 .
[59] S. Bustin. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. , 2000, Journal of molecular endocrinology.
[60] A. Pardee,et al. Differential display of eukaryotic messenger RNA by means of the polymerase chain reaction. , 1992, Science.
[61] W. N. Burnette,et al. "Western blotting": electrophoretic transfer of proteins from sodium dodecyl sulfate--polyacrylamide gels to unmodified nitrocellulose and radiographic detection with antibody and radioiodinated protein A. , 1981, Analytical biochemistry.
[62] Dechang Chen,et al. Selecting Genes by Test Statistics , 2005, Journal of biomedicine & biotechnology.
[63] D. Murphy. Gene expression studies using microarrays: principles, problems, and prospects. , 2002, Advances in physiology education.
[64] T. Poggio,et al. Multiclass cancer diagnosis using tumor gene expression signatures , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[65] M. Ringnér,et al. Molecular classification of familial non-BRCA1/BRCA2 breast cancer , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[66] K. Mullis,et al. Primer-directed enzymatic amplification of DNA with a thermostable DNA polymerase. , 1988, Science.
[67] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[68] Edward R. Dougherty,et al. Is cross-validation valid for small-sample microarray classification? , 2004, Bioinform..
[69] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[70] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .