STOP using just GO: a multi-ontology hypothesis generation tool for high throughput experimentation

BACKGROUND: Gene Ontology (GO) enrichment analysis remains one of the most common methods for hypothesis generation from high throughput datasets. However, we believe that researchers strive to test other hypotheses that fall outside of GO. Here, we developed and evaluated a tool for hypothesis gene...

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Detalles Bibliográficos
Autores principales: Wittkop, Tobias, TerAvest, Emily, Evani, Uday S, Fleisch, K Mathew, Berman, Ari E, Powell, Corey, Shah, Nigam H, Mooney, Sean D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635999/
https://www.ncbi.nlm.nih.gov/pubmed/23409969
http://dx.doi.org/10.1186/1471-2105-14-53

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635999/
https://www.ncbi.nlm.nih.gov/pubmed/23409969
http://dx.doi.org/10.1186/1471-2105-14-53

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