Relation between permutation-test p values and classifier error estimates.
Gene-expression-based classifiers suffer from the small number of microarrays usually available for classifier design. Hence, one is confronted with the dual problem of designing a classifier and estimating its error with only a small sample. Permutation testing has been recommended to assess the de...
| Published in: | Machine learning. 52, 1-2 (2003). |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Subjects: |