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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Detalhes bibliográficos
Main Authors: Yoshida, Yuko, Makita, Yuko, Heida, Naohiko, Asano, Satomi, Matsushima, Akihiro, Ishii, Manabu, Mochizuki, Yoshiki, Masuya, Hiroshi, Wakana, Shigeharu, Kobayashi, Norio, Toyoda, Tetsuro
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2009
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Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2703941/
https://ncbi.nlm.nih.gov/pubmed/19468046
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkp384
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