PosMed (Positional Medline): prioritizing genes with an artificial neural network comprising medical documents to accelerate positional cloning

PosMed (http://omicspace.riken.jp/) prioritizes candidate genes for positional cloning by employing our original database search engine GRASE, which uses an inferential process similar to an artificial neural network comprising documental neurons (or ‘documentrons’) that represent each document cont...

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Detalles Bibliográficos
Autores principales: Yoshida, Yuko, Makita, Yuko, Heida, Naohiko, Asano, Satomi, Matsushima, Akihiro, Ishii, Manabu, Mochizuki, Yoshiki, Masuya, Hiroshi, Wakana, Shigeharu, Kobayashi, Norio, Toyoda, Tetsuro
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703941/
https://www.ncbi.nlm.nih.gov/pubmed/19468046
http://dx.doi.org/10.1093/nar/gkp384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703941/
https://www.ncbi.nlm.nih.gov/pubmed/19468046
http://dx.doi.org/10.1093/nar/gkp384

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