Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewProgress towards the integration of pharmacogenomics in practiceCombining heterogenous data for prediction of disease related and pharmacogenesMining the pharmacogenomics literature--a survey of the state of the artLearning from biomedical linked data to suggest valid pharmacogenes.BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs.Ranking gene-drug relationships in biomedical literature using Latent Dirichlet AllocationDiscovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism.Recent progress in automatically extracting information from the pharmacogenomic literature.Databases in the area of pharmacogenetics.Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies.Teaching computers to read the pharmacogenomics literature ... so you don't have toTargets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbationsA knowledge-driven conditional approach to extract pharmacogenomics specific drug-gene relationships from free text.The research on gene-disease association based on text-mining of PubMed.
P2860
Q27008867-F73C81CD-601F-40D5-8DA2-CC28BFE58B90Q28652270-D709FC4F-6B4C-4144-9F2F-E4A7D26DB982Q28659646-D7209DF7-E017-4249-B1CC-37386F49A06BQ28728833-E8816EF1-9326-48A3-AE6F-27F53C3196CDQ33587530-296C3CC2-50DF-487D-A142-5C74B1CA0DE1Q33879108-EEDA9B35-5FA9-48E0-BFE8-CAC81D85D372Q33893807-0A58AE93-579C-4B6C-A1D9-AA389AC5164CQ34110394-78DCB115-2484-49B3-B5FB-3FD86B094D13Q34560509-C47FE2C9-E601-4188-898D-8BF320C434D1Q35959328-DA76B201-02CA-4D05-99FE-C7ED254596E6Q36223433-7573DD95-2148-4B08-9252-25919620780EQ36340395-8C582481-8811-44A2-B476-981D45AD61EBQ40513256-B2A3D876-44DA-4095-93C6-AF8E795DBC8CQ41574202-6FA48EF4-30DC-4051-AF0B-8CE8471441EAQ49219104-E76D31E5-9E22-458C-95EC-343CED396BC2
P2860
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@ast
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@en
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@nl
type
label
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@ast
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@en
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@nl
prefLabel
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@ast
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@en
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@nl
P2860
P1476
Improving the prediction of pharmacogenes using text-derived drug-gene relationships.
@en
P2093
Nicholas P Tatonetti
Yael Garten
P2860
P304
P50
P577
2010-01-01T00:00:00Z