Statistical methods for analyzing gene expression data for cancer research.
暂无分享,去创建一个
[1] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[2] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[3] M. Ringnér,et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks , 2001, Nature Medicine.
[4] Pierre Baldi,et al. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes , 2001, Bioinform..
[5] Nir Friedman,et al. Class discovery in gene expression data , 2001, RECOMB.
[6] 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.
[7] S. Dudoit,et al. Microarray expression profiling identifies genes with altered expression in HDL-deficient mice. , 2000, Genome research.
[8] Nello Cristianini,et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data , 2000, Bioinform..
[9] Roded Sharan,et al. Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis , 2000, ISMB.
[10] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.
[11] N. Sampas,et al. Molecular classification of cutaneous malignant melanoma by gene expression profiling , 2000, Nature.
[12] Jill P. Mesirov,et al. Class prediction and discovery using gene expression data , 2000, RECOMB '00.
[13] Christian A. Rees,et al. Systematic variation in gene expression patterns in human cancer cell lines , 2000, Nature Genetics.
[14] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[15] Nir Friedman,et al. Tissue classification with gene expression profiles. , 2000 .
[16] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[17] Roger E Bumgarner,et al. Comparative hybridization of an array of 21,500 ovarian cDNAs for the discovery of genes overexpressed in ovarian carcinomas. , 1999, Gene.
[18] Christian A. Rees,et al. Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[19] G. Church,et al. Systematic determination of genetic network architecture , 1999, Nature Genetics.
[20] 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.
[21] Zohar Yakhini,et al. Clustering gene expression patterns , 1999, J. Comput. Biol..
[22] L. Hood,et al. Monitoring gene expression profile changes in ovarian carcinomas using cDNA microarray. , 1999, Gene.
[23] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[24] S. P. Fodor,et al. High density synthetic oligonucleotide arrays , 1999, Nature Genetics.
[25] 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.
[26] D. Botstein,et al. The transcriptional program of sporulation in budding yeast. , 1998, Science.
[27] Marti A. Hearst. Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..
[28] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[29] P. Brown,et al. Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.
[30] P. Brown,et al. A DNA microarray system for analyzing complex DNA samples using two-color fluorescent probe hybridization. , 1996, Genome research.
[31] B. Ripley. Pattern Recognition and Neural Networks , 1996 .
[32] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[33] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[34] R. Durrett. Probability: Theory and Examples , 1993 .
[35] Rose,et al. Statistical mechanics and phase transitions in clustering. , 1990, Physical review letters.
[36] M. Degroot,et al. Probability and Statistics , 1977 .
[37] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.