论文信息 - Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data

Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data

One-class classification techniques are able to, based only on examples of a normal profile, induce a classifier that is capable of identifying novel classes or profile changes. However, the performance of different novelty detection approaches may depend on the domain considered. This paper applies combined one-class classifiers to detect novelty in gene expression data. Results indicate that the robustness of the classification is increased with this combined approach.

André Carlos Ponce de Leon Ferreira de Carvalho | Eduardo Jaques Spinosa | A. Carvalho | E. Spinosa

[1] Teuvo Kohonen,et al. Self-Organizing Maps , 2010 .

[2] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.

[3] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .

[4] David G. Stork,et al. Pattern Classification , 1973 .

[5] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.

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

[7] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .

[8] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .

[9] Robert P. W. Duin,et al. Combining One-Class Classifiers , 2001, Multiple Classifier Systems.

[10] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .

[11] 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.

[12] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .

[13] 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.