Identifying the status of genetic lesions in cancer clinical trial documents using machine learning.
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A decision support framework for genomically informed investigational cancer therapy.Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.govAdapting a natural language processing tool to facilitate clinical trial curation for personalized cancer therapyA Semantic Web-based System for Mining Genetic Mutations in Cancer Clinical TrialsGenomics in 2012: challenges and opportunities in the next generation sequencing era.
P2860
Identifying the status of genetic lesions in cancer clinical trial documents using machine learning.
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2012 nî lūn-bûn
@nan
2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի դեկտեմբերին 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
Identifying the status of gene ...... uments using machine learning.
@ast
Identifying the status of gene ...... uments using machine learning.
@en
Identifying the status of gene ...... uments using machine learning.
@nl
type
label
Identifying the status of gene ...... uments using machine learning.
@ast
Identifying the status of gene ...... uments using machine learning.
@en
Identifying the status of gene ...... uments using machine learning.
@nl
prefLabel
Identifying the status of gene ...... uments using machine learning.
@ast
Identifying the status of gene ...... uments using machine learning.
@en
Identifying the status of gene ...... uments using machine learning.
@nl
P2093
P2860
P1433
P1476
Identifying the status of gene ...... uments using machine learning.
@en
P2093
Buzhou Tang
Mia A Levy
Michael J Cantrell
Stacy M Cooreman
Yonghui Wu
P2860
P356
10.1186/1471-2164-13-S8-S21
P407
P478
13 Suppl 8
P577
2012-12-17T00:00:00Z