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Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
OBJECTIVE: The classification of complex or rare patterns in clinical and genomic data requires the availability of a large, labeled patient set. While methods that operate on large, centralized data sources have been extensively used, little attention has been paid to understanding whether models s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Group
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3422844/ https://www.ncbi.nlm.nih.gov/pubmed/22511014 http://dx.doi.org/10.1136/amiajnl-2012-000862 |