Evaluation of a large-scale biomedical data annotation initiative

BACKGROUND: This study describes a large-scale manual re-annotation of data samples in the Gene Expression Omnibus (GEO), using variables and values derived from the National Cancer Institute thesaurus. A framework is described for creating an annotation scheme for various diseases that is flexible,...

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Detalles Bibliográficos
Autores principales: Lacson, Ronilda, Pitzer, Erik, Hinske, Christian, Galante, Pedro, Ohno-Machado, Lucila
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745681/
https://www.ncbi.nlm.nih.gov/pubmed/19761564
http://dx.doi.org/10.1186/1471-2105-10-S9-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745681/
https://www.ncbi.nlm.nih.gov/pubmed/19761564
http://dx.doi.org/10.1186/1471-2105-10-S9-S10

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