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Identifying Relevant Data for a Biological Database: Handcrafted Rules Versus Machine Learning

With well over one thousand specialized biological databases in use today, the task of automatically identifying novel, relevant data for such databases is increasingly important. In this paper, we describe practical machine learning approaches for identifying MEDLINE documents and Swiss-Prot/TrEMBL...

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Detalhes bibliográficos
Main Authors: Sehgal, Aditya Kumar, Das, Sanmay, Noto, Keith, Saier, Milton H., Elkan, Charles
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3980937/
https://ncbi.nlm.nih.gov/pubmed/21393656
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2009.83
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