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High Dimensional Variable Selection with Error Control
Background. The iterative sure independence screening (ISIS) is a popular method in selecting important variables while maintaining most of the informative variables relevant to the outcome in high throughput data. However, it not only is computationally intensive but also may cause high false disco...
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| Pubblicato in: | Biomed Res Int |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5002494/ https://ncbi.nlm.nih.gov/pubmed/27597974 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/8209453 |
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