A mutation-centric approach to identifying pharmacogenomic relations in text.
about
Getting personalized cancer genome analysis into the clinic: the challenges in bioinformaticsUsing semantic predications to uncover drug-drug interactions in clinical data.Mutation extraction tools can be combined for robust recognition of genetic variants in the literatureTowards precision medicine: advances in computational approaches for the analysis of human variantsLiterature mining of genetic variants for curation: quantifying the importance of supplementary material.Drug knowledge bases and their applications in biomedical informatics research.eGARD: Extracting associations between genomic anomalies and drug responses from text.
P2860
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P2860
A mutation-centric approach to identifying pharmacogenomic relations in text.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A mutation-centric approach to identifying pharmacogenomic relations in text.
@ast
A mutation-centric approach to identifying pharmacogenomic relations in text.
@en
type
label
A mutation-centric approach to identifying pharmacogenomic relations in text.
@ast
A mutation-centric approach to identifying pharmacogenomic relations in text.
@en
prefLabel
A mutation-centric approach to identifying pharmacogenomic relations in text.
@ast
A mutation-centric approach to identifying pharmacogenomic relations in text.
@en
P2093
P2860
P1476
A mutation-centric approach to identifying pharmacogenomic relations in text.
@en
P2093
Bastien Rance
Dina Demner-Fushman
Emily Doughty
Maricel G Kann
Olivier Bodenreider
P2860
P304
P356
10.1016/J.JBI.2012.05.003
P577
2012-06-07T00:00:00Z