PolySearch2: a significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins and more
about
BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical LiteratureData-Driven Approach To Determine Popular Proteins for Targeted Proteomics Translation of Six Organ SystemsUsing Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.A Review of Recent Advancement in Integrating Omics Data with Literature Mining towards Biomedical Discoveries.Functional networks of aging markers in the glomeruli of IgA nephropathy: a new therapeutic opportunity.An analysis of disease-gene relationship from Medline abstracts by DigSeeEfficient Results in Semantic Interoperability for Health Care. Findings from the Section on Knowledge Representation and Management.Updates in metabolomics tools and resources: 2014-2015.HMDB 4.0: the human metabolome database for 2018.DrugBank 5.0: a major update to the DrugBank database for 2018.The research on gene-disease association based on text-mining of PubMed.The prescribable drugs with efficacy in experimental epilepsies (PDE3) database for drug repurposing research in epilepsy.Polysaccharide from Angelica sinensis protects H9c2 cells against oxidative injury and endoplasmic reticulum stress by activating the ATF6 pathway.Exploiting and assessing multi-source data for supervised biomedical named entity recognition.The SNPcurator: literature mining of enriched SNP-disease associations.LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC.Automatic extraction of gene-disease associations from literature using joint ensemble learning
P2860
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P2860
PolySearch2: a significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins and more
description
2015 nî lūn-bûn
@nan
2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
PolySearch2: a significantly i ...... , metabolites, toxins and more
@ast
PolySearch2: a significantly i ...... , metabolites, toxins and more
@en
PolySearch2: a significantly i ...... , metabolites, toxins and more
@nl
type
label
PolySearch2: a significantly i ...... , metabolites, toxins and more
@ast
PolySearch2: a significantly i ...... , metabolites, toxins and more
@en
PolySearch2: a significantly i ...... , metabolites, toxins and more
@nl
prefLabel
PolySearch2: a significantly i ...... , metabolites, toxins and more
@ast
PolySearch2: a significantly i ...... , metabolites, toxins and more
@en
PolySearch2: a significantly i ...... , metabolites, toxins and more
@nl
P2093
P2860
P3181
P356
P1476
PolySearch2: a significantly i ...... , metabolites, toxins and more
@en
P2093
David Wishart
Yifeng Liu
Yongjie Liang
P2860
P304
P3181
P356
10.1093/NAR/GKV383
P407
P577
2015-07-01T00:00:00Z