A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into t...

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Detalles Bibliográficos
Autores principales: Wang, Jing, Webb-Robertson, Bobbie-Jo M., Matzke, Melissa M., Varnum, Susan M., Brown, Joseph N., Riensche, Roderick M., Adkins, Joshua N., Jacobs, Jon M., Hoidal, John R., Scholand, Mary Beth, Pounds, Joel G., Blackburn, Michael R., Rodland, Karin D., McDermott, Jason E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3809975/
https://www.ncbi.nlm.nih.gov/pubmed/24223463
http://dx.doi.org/10.1155/2013/613529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3809975/
https://www.ncbi.nlm.nih.gov/pubmed/24223463
http://dx.doi.org/10.1155/2013/613529

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