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Controlling false discoveries in high-dimensional situations: boosting with stability selection
BACKGROUND: Modern biotechnologies often result in high-dimensional data sets with many more variables than observations (n≪p). These data sets pose new challenges to statistical analysis: Variable selection becomes one of the most important tasks in this setting. Similar challenges arise if in mode...
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| I publikationen: | BMC Bioinformatics |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4464883/ https://ncbi.nlm.nih.gov/pubmed/25943565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0575-3 |
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