Study of gene expression representation with Treelets and hierarchical clustering algorithms
暂无分享,去创建一个
[1] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[2] K. Deb,et al. Reliable classification of two-class cancer data using evolutionary algorithms. , 2003, Bio Systems.
[3] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[4] Sandrine Dudoit,et al. Classification in microarray experiments , 2003 .
[5] Antonio Ortega,et al. Treelets as feature transformation tool for block diagonal linear discrimination , 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.
[6] Gene H. Golub,et al. Matrix computations , 1983 .
[7] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[8] Ann B. Lee,et al. Treelets--An adaptive multi-scale basis for sparse unordered data , 2007, 0707.0481.
[9] R. Tibshirani,et al. Supervised harvesting of expression trees , 2001, Genome Biology.
[10] Ulisses Braga-Neto,et al. Bolstered error estimation , 2004, Pattern Recognit..
[11] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[12] Marcel J. T. Reinders,et al. A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets , 2006, BMC Bioinformatics.
[13] Tao Li,et al. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression , 2004, Bioinform..
[14] U. Alon,et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[15] G. Church,et al. Identifying regulatory networks by combinatorial analysis of promoter elements , 2001, Nature Genetics.
[16] Johan A. K. Suykens,et al. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction , 2004, Bioinform..
[17] J. Peto. Breast cancer susceptibility-A new look at an old model. , 2002, Cancer cell.
[18] U. Braga-Neto,et al. Fads and fallacies in the name of small-sample microarray classification - A highlight of misunderstanding and erroneous usage in the applications of genomic signal processing , 2007, IEEE Signal Processing Magazine.
[19] David Casasent,et al. An improvement on floating search algorithms for feature subset selection , 2009, Pattern Recognit..
[20] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[21] John W. Tukey,et al. Exploratory Data Analysis , 1980, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.
[22] De-Shuang Huang,et al. Independent component analysis-based penalized discriminant method for tumor classification using gene expression data , 2006, Bioinform..
[23] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[24] D. Cavalieri,et al. Fundamentals of cDNA microarray data analysis. , 2003, Trends in genetics : TIG.