TY - GEN
T1 - The effect of noisy bootstrapping on the robustness of supervised classification of gene expression data
AU - Efron, Niv
AU - Intrator, Nathan
PY - 2004
Y1 - 2004
N2 - This paper discusses the role of noisy bootstrapping in the analysis of microarray data. We apply linear discriminant analysis, according to Fisher's method, to perform feature selection and classification, creating a linear model which enables clinicians easier interpretation of the results. We present the effects of bootstrapping in improvement of the results, and specifically robustifying classification with an increased number of genes. The performance of our method is demonstrated on publicly available datasets, and a comparison with state of the art published results is included. In particular, we show the effect of the number of features (genes) on the result, as well as the effect of bootstrapping. The results show that our classifier is accurate and quite competitive to other classifiers, although it is simpler, and enables considering a larger set of genes in the classification.
AB - This paper discusses the role of noisy bootstrapping in the analysis of microarray data. We apply linear discriminant analysis, according to Fisher's method, to perform feature selection and classification, creating a linear model which enables clinicians easier interpretation of the results. We present the effects of bootstrapping in improvement of the results, and specifically robustifying classification with an increased number of genes. The performance of our method is demonstrated on publicly available datasets, and a comparison with state of the art published results is included. In particular, we show the effect of the number of features (genes) on the result, as well as the effect of bootstrapping. The results show that our classifier is accurate and quite competitive to other classifiers, although it is simpler, and enables considering a larger set of genes in the classification.
UR - http://www.scopus.com/inward/record.url?scp=17644384109&partnerID=8YFLogxK
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AN - SCOPUS:17644384109
SN - 0780386086
T3 - Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop
SP - 413
EP - 422
BT - Machine Learning for Signal Processing XIV - Proceedings of 2004 IEEE Signal Processing Society Workshop
A2 - Barros, A.
A2 - Principe, J.
A2 - Larsen, J.
A2 - Adali, T.
A2 - Douglas, S.
T2 - Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop
Y2 - 29 September 2004 through 1 October 2004
ER -