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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...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMJ Group
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3422844/ https://ncbi.nlm.nih.gov/pubmed/22511014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-000862 |
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