A balanced iterative random forest for gene selection from microarray data

Publisher:
Biomed Central Ltd
Publication Type:
Journal article
Citation:
Anaissi, Ali Hassan et al. 2013, 'A balanced iterative random forest for gene selection from microarray data', BMC Bioinformatics, vol. 14, no. 1, pp. 261-1-261-10.
Issue Date:
2013
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Background: The wealth of gene expression values being generated by high throughput microarray technologies leads to complex high dimensional datasets. Moreover, many cohorts have the problem of imbalanced classes where the number of patients belonging t
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