Identifying genes that contribute most to good classification in microarrays

[1]  S. Polak‐Charcon,et al.  Fibroblastic polyp of the colon: clinicopathological analysis of 10 cases with emphasis on its common association with serrated crypts , 2006, Histopathology.

[2]  B. H. Patterson,et al.  Evaluating markers for the early detection of cancer: overview of study designs and methods , 2006, Clinical trials.

[3]  Jian Huang,et al.  Regularized binormal ROC method in disease classification using microarray data , 2005, BMC Bioinformatics.

[4]  Xin Yao,et al.  Gene selection algorithms for microarray data based on least squares support vector machine , 2006, BMC Bioinformatics.

[5]  Alan R. Dabney.  BIOINFORMATICS Classification of Microarrays to Nearest Centroids , 2022 .

[6]  Stefan Michiels,et al.  Prediction of cancer outcome with microarrays: a multiple random validation strategy , 2005, The Lancet.

[7]  Igor V. Tetko,et al.  Gene selection from microarray data for cancer classification - a machine learning approach , 2005, Comput. Biol. Chem..

[8]  J. Calafat,et al.  Localization of serglycin in human neutrophil granulocytes and their precursors , 2004, Journal of leukocyte biology.

[9]  Xia Li,et al.  Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling. , 2004, Nucleic acids research.

[10]  C. V. van Noorden,et al.  Promotion of colon cancer metastases in rat liver by fish oil diet is not due to reduced stroma formation , 2004, Clinical & Experimental Metastasis.

[11]  R Simon,et al.  Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data , 2003, British Journal of Cancer.

[12]  M. Pepe.  The Statistical Evaluation of Medical Tests for Classification and Prediction , 2003 .

[13]  S. Dudoit,et al.  Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .

[14]  Yudong D. He,et al.  Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.

[15]  T. Poggio,et al.  Prediction of central nervous system embryonal tumour outcome based on gene expression , 2002, Nature.

[16]  R. Spang,et al.  Predicting the clinical status of human breast cancer by using gene expression profiles , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[17]  S G Baker,et al.  Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention , 2000, Biometrics.

[18]  Katsuyoshi Hatakeyama,et al.  Zyxin, a Regulator of Actin Filament Assembly, Targets the Mitotic Apparatus by Interacting with H-Warts/Lats1 Tumor Suppressor , 2000, The Journal of cell biology.

[19]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[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]  G. Butler-Browne,et al.  Desmin Is Essential for the Tensile Strength and Integrity of Myofibrils but Not for Myogenic Commitment, Differentiation, and Fusion of Skeletal Muscle , 1997, The Journal of cell biology.

[22]  R. Stevens,et al.  The human serglycin gene. Nucleotide sequence and methylation pattern in human promyelocytic leukemia HL-60 cells and T-lymphoblast Molt-4 cells. , 1992, The Journal of biological chemistry.

[23]  D. Bamber.  The area above the ordinal dominance graph and the area below the receiver operating characteristic graph , 1975 .