Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms
<p>Abstract</p> <p>Background</p> <p>Data generated using 'omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of subjects in the study. In this paper, we consider issues rel...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-09-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/11/447 |