Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution
暂无分享,去创建一个
Thomas Brendan Murphy | Pauline M. Rudd | Matthew P. Campbell | Marie C. Galligan | Radka Saldova | Matthew P. Campbell | T. B. Murphy | P. Rudd | M. Campbell | R. Saldova | M. Galligan
[1] Andrew S. Peek,et al. Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features , 2007, BMC Bioinformatics.
[2] Paul D. McNicholas,et al. Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models , 2010, Comput. Stat. Data Anal..
[3] Jack Y. Yang,et al. A comparative study of different machine learning methods on microarray gene expression data , 2008, BMC Genomics.
[4] C. M. Jackson,et al. Variable Selection in Artefact Compositional Studies , 2001 .
[5] Hongbin Zha,et al. Dirichlet component analysis: feature extraction for compositional data , 2008, ICML '08.
[6] Raflq H. Hijazi,et al. Modelling Compositional Data Using Dirichlet Regression Models , 2007 .
[7] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[8] B. Lindsay. Mixture models : theory, geometry, and applications , 1995 .
[9] K. Lewis,et al. A review of novel biological tools used in screening for the early detection of lung cancer , 2009, Postgraduate Medical Journal.
[10] Thomas Brendan Murphy,et al. Application of Compositional Models for Glycan HILIC Data , 2011 .
[11] Raymond J. Owens,et al. Functional and structural proteomics of glycoproteins , 2011 .
[12] L. A. Smith,et al. Feature Subset Selection: A Correlation Based Filter Approach , 1997, ICONIP.
[13] J. Paulson,et al. Glycomics: an integrated systems approach to structure-function relationships of glycans , 2005, Nature Methods.
[14] A. Raftery,et al. Time Series of Continuous Proportions , 1993 .
[15] 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.
[16] Thomas Lengauer,et al. ROCR: visualizing classifier performance in R , 2005, Bioinform..
[17] Pieter Vermeesch,et al. Tectonic discrimination of basalts with classification trees , 2006 .
[18] David J. Harvey,et al. HPLC-based analysis of serum N-glycans on a 96-well plate platform with dedicated database software. , 2008, Analytical biochemistry.
[19] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[20] B. Lindsay,et al. The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family , 1994 .
[21] Yue Fan,et al. Core fucosylation and alpha2-3 sialylation in serum N-glycome is significantly increased in prostate cancer comparing to benign prostate hyperplasia. , 2011, Glycobiology.
[22] K. Pearson. Mathematical contributions to the theory of evolution.—On a form of spurious correlation which may arise when indices are used in the measurement of organs , 1897, Proceedings of the Royal Society of London.
[23] Pauline M. Rudd,et al. Chapter 3:Changes in Serum N-Glycosylation Profiles: Functional Significance and Potential for Diagnostics , 2011 .
[24] Thomas Brendan Murphy,et al. Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications. , 2010, The annals of applied statistics.
[25] A. Raftery,et al. Variable Selection for Model-Based Clustering , 2006 .
[26] Kiyoko F. Aoki-Kinoshita,et al. Frontiers in glycomics: Bioinformatics and biomarkers in disease An NIH White Paper prepared from discussions by the focus groups at a workshop on the NIH campus, Bethesda MD (September 11–13, 2006) , 2008, Proteomics.
[27] Maureen E. Taylor,et al. Comprar Introduction to Glycobiology | Maureen E. Taylor | 9780199569113 | Oxford University Press , 2011 .
[28] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[29] A. Jemal,et al. Global cancer statistics , 2011, CA: a cancer journal for clinicians.
[30] Robert J. Connor,et al. Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution , 1969 .
[31] S. Shen,et al. The statistical analysis of compositional data , 1983 .
[32] T. Minka. Estimating a Dirichlet distribution , 2012 .
[33] Louise Royle,et al. Proposal for a standard system for drawing structural diagrams of N‐ and O‐linked carbohydrates and related compounds , 2009, Proteomics.
[34] Christina Bougatsos,et al. Screening for Prostate Cancer: A Review of the Evidence for the U.S. Preventive Services Task Force , 2011, Annals of Internal Medicine.
[35] Pauline M Rudd,et al. Novel glycan biomarkers for the detection of lung cancer. , 2011, Journal of proteome research.
[36] Pauline M. Rudd,et al. GlycoBase and autoGU: tools for HPLC-based glycan analysis , 2008, Bioinform..
[37] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[38] Daniel Zelterman,et al. Dirichlet component regression and its applications to psychiatric data , 2008, Comput. Stat. Data Anal..
[39] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[40] S. Y. Dennis. On the hyper-Dirichlet type 1 and hyper-Liouville distributions , 1991 .
[41] 伏信 進矢. アイオワで computational な夏 , 2007 .
[42] R. Dwek,et al. Sequencing of N-linked oligosaccharides directly from protein gels: in-gel deglycosylation followed by matrix-assisted laser desorption/ionization mass spectrometry and normal-phase high-performance liquid chromatography. , 1997, Analytical biochemistry.
[43] P. Rudd,et al. Evaluation of the serum N‐linked glycome for the diagnosis of cancer and chronic inflammation , 2008, Proteomics.
[44] G. Ronning. Maximum likelihood estimation of dirichlet distributions , 1989 .
[45] Bülent Sankur,et al. Feature selection in the independent component subspace for face recognition , 2004, Pattern Recognit. Lett..
[46] Maureen E. Taylor,et al. Introduction to glycobiology , 2003 .
[47] Pauline M Rudd,et al. Ultra performance liquid chromatographic profiling of serum N-glycans for fast and efficient identification of cancer associated alterations in glycosylation. , 2010, Analytical chemistry.
[48] Weston B. Struwe,et al. Glycoproteomics in Health and Disease , 2010 .
[49] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[50] John Aitchison,et al. The Statistical Analysis of Compositional Data , 1986 .
[51] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[52] D. Bates,et al. Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data , 1988 .
[53] R. Borges,et al. To transform or not to transform , 2011, Plant signaling & behavior.
[54] R. Parekh,et al. Nonselective and efficient fluorescent labeling of glycans using 2-amino benzamide and anthranilic acid. , 1995, Analytical biochemistry.