@inproceedings{d9cb9d04909c49039eb5fc7b0cacb95d,
title = "Comparison of gene identification based on artificial neural network pre-processing with k-means cluster and principal component analysis",
abstract = "A combination of gene ranking, dimensional reduction, and recursive feature elimination (RFE) using a BP-MLP artificial neural network (ANN) was used to select genes for DNA microarray classification. Use of k-means cluster analysis for dimensional reduction and maximum sensitivity for RFE resulted in 64-gene models with fewer invariant and correlated features when compared with PCA and mimimum error. In conclusion, k-means cluster analysis and sensitivity may be better suited for classifying diseases for which gene expression is more strongly influenced by pathway heterogeneity.",
author = "Peterson, {Leif E.} and Coleman, {Matthew A.}",
year = "2006",
doi = "10.1007/11676935_33",
language = "English (US)",
isbn = "3540325298",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "267--276",
booktitle = "Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers",
note = "6th International Workshop - Fuzzy Logic and Applications ; Conference date: 15-09-2005 Through 17-09-2005",
}