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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Detalles Bibliográficos
Autores principales: Wu, Yuan, Jiang, Xiaoqian, Kim, Jihoon, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Research and Applications
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

Internet

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

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