Загрузка...
A balanced iterative random forest for gene selection from microarray data
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 to each class is not the same. With this kind o...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2013
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3766035/ https://ncbi.nlm.nih.gov/pubmed/23981907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-261 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|