Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data
暂无分享,去创建一个
Age K. Smilde | Edoardo Saccenti | Johan A. Westerhuis | Jos A. Hageman | Margriet M. W. B. Hendriks | A. Smilde | M. Hendriks | J. Westerhuis | J. Hageman | M. J. van der Werf | E. Saccenti | Mariët J. van der Werf
[1] Elaine Holmes,et al. Statistical total correlation spectroscopy editing of 1H NMR spectra of biofluids: application to drug metabolite profile identification and enhanced information recovery. , 2009, Analytical chemistry.
[2] C. B. Lucasius,et al. Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization , 1994 .
[3] Wolfgang Gaul,et al. From Data to Knowledge: Theoretical and Practical Aspects of Classification, Data Analysis, and Knowledge Organization , 1996 .
[4] A. D. Gordon. Null Models in Cluster Validation , 1996 .
[5] Andreas Karlsson,et al. Matrix Analysis for Statistics , 2007, Technometrics.
[6] Kenneth A. De Jong,et al. Using Genetic Algorithms to Solve NP-Complete Problems , 1989, ICGA.
[7] J. David Schaffer,et al. Proceedings of the third international conference on Genetic algorithms , 1989 .
[8] Wojtek J. Krzanowski,et al. Improved biclustering of microarray data demonstrated through systematic performance tests , 2005, Comput. Stat. Data Anal..
[9] Age K. Smilde,et al. Simplivariate Models: Ideas and First Examples , 2008, PloS one.
[10] Wojtek J. Krzanowski,et al. Biclustering models for structured microarray data , 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[11] Age K. Smilde,et al. ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data , 2005, Bioinform..
[12] Elaine Holmes,et al. Metabonomic investigations of aging and caloric restriction in a life-long dog study. , 2007, Journal of proteome research.
[13] Ralf Steuer,et al. Review: On the analysis and interpretation of correlations in metabolomic data , 2006, Briefings Bioinform..
[14] W. F. Zheng,et al. NMR‐Based Metabonomics for Detection of Helicobacter pylori Infection in Gerbils: Which Is More Descriptive , 2008, Helicobacter.
[15] Peter de B. Harrington,et al. Analysis of variance–principal component analysis: A soft tool for proteomic discovery , 2005 .
[16] Edoardo Saccenti,et al. Individual human phenotypes in metabolic space and time. , 2009, Journal of proteome research.
[17] J. van Heijenoort. Recent advances in the formation of the bacterial peptidoglycan monomer unit. , 2001, Natural product reports.
[18] Bart Selman,et al. Computational science: A hard statistical view , 2008, Nature.
[19] David W Salt,et al. Judging the significance of multiple linear regression models. , 2005, Journal of medicinal chemistry.
[20] A. Petros,et al. Characterization of a posttranslational fucosylation in the growth factor domain of urinary plasminogen activator. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[21] A. Raftery. Choosing Models for Cross-Classifications , 1986 .
[22] Ivano Bertini,et al. Evidence of different metabolic phenotypes in humans , 2008, Proceedings of the National Academy of Sciences.
[23] E. Snell,et al. Reversibility of the tryptophanase reaction: synthesis of tryptophan from indole, pyruvate, and ammonia. , 1972, Proceedings of the National Academy of Sciences of the United States of America.
[24] C. B. Lucasius,et al. Understanding and using genetic algorithms Part 1. Concepts, properties and context , 1993 .
[25] R. Tibshirani,et al. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. , 2009, Biostatistics.
[26] J. Friedman,et al. Estimating Optimal Transformations for Multiple Regression and Correlation. , 1985 .
[27] A. Smilde,et al. Fusion of mass spectrometry-based metabolomics data. , 2005, Analytical chemistry.
[28] Gene H. Golub,et al. Singular value decomposition and least squares solutions , 1970, Milestones in Matrix Computation.
[29] A. Lundblad,et al. A new type of carbohydrate-protein linkage in a glycopeptide from normal human urine. , 1975, The Journal of biological chemistry.
[30] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[31] Philip Chan,et al. Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.
[32] H. Chipman,et al. Interpretable dimension reduction , 2005 .
[33] Peter D. Karp,et al. EcoCyc: a comprehensive database resource for Escherichia coli , 2004, Nucleic Acids Res..
[34] Iven Van Mechelen,et al. UvA-DARE ( Digital Academic Repository ) A structured overview of simultaneous component based data integration , 2009 .
[35] J. Topliss,et al. Chance correlations in structure-activity studies using multiple regression analysis , 1972 .
[36] M. Stiles,et al. Escherichia coli variants for gas and indole production at elevated incubation temperatures , 1984, Applied and environmental microbiology.
[37] R. Wildman,et al. Advanced Human Nutrition , 1999 .
[38] I. Wilson,et al. Gut microorganisms, mammalian metabolism and personalized health care , 2005, Nature Reviews Microbiology.
[39] R. A. van den Berg,et al. Centering, scaling, and transformations: improving the biological information content of metabolomics data , 2006, BMC Genomics.
[40] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[41] Marcel J. T. Reinders,et al. Fewer permutations, more accurate P-values , 2009, Bioinform..
[42] Merlin C. Thomas,et al. Increased tubular organic ion clearance following chronic ACE inhibition in patients with type 1 diabetes. , 2005, Kidney international.
[43] R. Tibshirani,et al. Estimating the number of clusters in a data set via the gap statistic , 2000 .
[44] P. Mendes,et al. The origin of correlations in metabolomics data , 2005, Metabolomics.
[45] A. K. Smilde,et al. Genetic algorithm based two-mode clustering of metabolomics data , 2008, Metabolomics.
[46] L. Tenori,et al. The metabonomic signature of celiac disease. , 2009, Journal of proteome research.
[47] L. Lazzeroni. Plaid models for gene expression data , 2000 .