Intelligent Analysis of Genomic Measurements
暂无分享,去创建一个
[1] E. Boerwinkle,et al. Feature (gene) selection in gene expression-based tumor classification. , 2001, Molecular genetics and metabolism.
[2] Constantin F. Aliferis,et al. Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data , 2003, FLAIRS.
[3] Wei Pan,et al. A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments , 2002, Bioinform..
[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] Jiawei Han,et al. Cancer classification using gene expression data , 2003, Inf. Syst..
[6] M. Xiong,et al. Recursive partitioning for tumor classification with gene expression microarray data , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[7] D. Slonim. From patterns to pathways: gene expression data analysis comes of age , 2002, Nature Genetics.
[8] Sung-Bae Cho,et al. Gene expression classification using optimal feature/classifier ensemble with negative correlation , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[9] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[10] D. Botstein,et al. Diversity of gene expression in adenocarcinoma of the lung , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[11] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[12] Nello Cristianini,et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data , 2000, Bioinform..
[13] D W Galbraith,et al. High-density microarrays for gene expression analysis. , 2001, Cytometry.
[14] D Haussler,et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.