A balanced iterative random forest for gene selection from microarray data
- Biomed Central Ltd
- Publication Type:
- Journal article
- 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:
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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