Multiclass Classification via Bayesian Variable Selection with Gene Expression Data
暂无分享,去创建一个
Yang Ai-jun | Song Xin-Yuan | Li Yunxian | Yang Ai-jun | Song Xin-Yuan | Li Yunxian | Xin-Yuan Song | Aijing Yang | Yunxian Li
[1] David Baltimore,et al. A new homeobox gene contributes the DNA binding domain of the t(1;19) translocation protein in pre-B all , 1990, Cell.
[2] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[3] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[4] 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.
[5] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[6] Nir Friedman,et al. Tissue classification with gene expression profiles. , 2000 .
[7] Daniel Q. Naiman,et al. Simple decision rules for classifying human cancers from gene expression profiles , 2005, Bioinform..
[8] Frank Bretz,et al. Comparison of Methods for the Computation of Multivariate t Probabilities , 2002 .
[9] Adrian E. Raftery,et al. Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data , 2005, Bioinform..
[10] Danh V. Nguyen,et al. Multi-class cancer classification via partial least squares with gene expression profiles , 2002, Bioinform..
[11] Joseph G. Ibrahim,et al. Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks , 2007 .
[12] A. Dawid. Some matrix-variate distribution theory: Notational considerations and a Bayesian application , 1981 .
[13] Kim-Anh Lê Cao,et al. ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method , 2008 .
[14] S. Kingsmore,et al. Genetic mapping of the tumor-associated mucin 1 gene on mouse Chromosome 3 , 1995, Mammalian Genome.
[15] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[16] Geoffrey J. McLachlan,et al. Discriminant Analysis and Statistical Pattern Recognition: McLachlan/Discriminant Analysis & Pattern Recog , 2005 .
[17] Wei Chu,et al. Biomarker discovery in microarray gene expression data with Gaussian processes , 2005, Bioinform..
[18] H. Ha,et al. Molecular cloning and expression pattern of a human gene homologous to the murine mb-1 gene. , 1992, Journal of immunology.
[19] Anastasios Panagiotelis,et al. Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models , 2008 .
[20] Jan Komorowski,et al. BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm486 Data and text mining Monte Carlo , 2022 .
[21] M. R. Mickey,et al. Estimation of Error Rates in Discriminant Analysis , 1968 .
[22] Igor V. Tetko,et al. Optimization models for cancer classification: extracting gene interaction information from microarray expression data , 2004, Bioinform..
[23] Joaquín Dopazo,et al. Papers on normalization, variable selection, classification or clustering of microarray data , 2009, Bioinform..
[24] E. George,et al. Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .
[25] T. Fearn,et al. Multivariate Bayesian variable selection and prediction , 1998 .
[26] M. L. Watson,et al. Genetic mapping of the T lymphocyte-specific transcription factor 7 gene on mouse Chromosome 11 , 2004, Mammalian Genome.
[27] Marcel Dettling,et al. BagBoosting for tumor classification with gene expression data , 2004, Bioinform..
[28] E R Dougherty,et al. Multi-class cancer classification using multinomial probit regression with Bayesian gene selection. , 2006, Systems biology.
[29] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Jim E. Griffin,et al. Transdimensional Sampling Algorithms for Bayesian Variable Selection in Classification Problems With Many More Variables Than Observations , 2009 .
[31] Joseph G Ibrahim,et al. An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional Data. , 2009, Statistica Sinica.
[32] R. Kohn,et al. Nonparametric regression using Bayesian variable selection , 1996 .
[33] Walter L. Ruzzo,et al. Improved Gene Selection for Classification of Microarrays , 2002, Pacific Symposium on Biocomputing.
[34] Trevor Hastie,et al. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays , 2003 .
[35] Marina Vannucci,et al. Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage , 2004, Biometrics.
[36] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[37] Kenneth E. Train,et al. Discrete Choice Methods with Simulation , 2016 .
[38] Roger E Bumgarner,et al. Multiclass classification of microarray data with repeated measurements: application to cancer , 2003, Genome Biology.
[39] Yang Ai-jun,et al. Bayesian variable selection for disease classification using gene expression data , 2010 .
[40] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[41] Insuk Sohn,et al. Structured polychotomous machine diagnosis of multiple cancer types using gene expression , 2006, Bioinform..
[42] Yoonkyung Lee,et al. Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Data , 2003, Bioinform..
[43] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.