Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

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MeSHDD: Literature-based drug-drug similarity for drug repositioning Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements.

P2860

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Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

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2014 nî lūn-bûn

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2014 թուականին հրատարակուած գիտական յօդուած

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2014 թվականին հրատարակված գիտական հոդված

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2014年の論文

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Exploiting Literature-derived ...... otential Prostate Cancer Drugs

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Genevieve B Melton

http://www.w3.org/2001/XMLSchema#string

Halil Kilicoglu

http://www.w3.org/2001/XMLSchema#string

Marcelo Fiszman

http://www.w3.org/2001/XMLSchema#string

Michael J Cairelli

http://www.w3.org/2001/XMLSchema#string

Rui Zhang

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Serguei V Pakhomov

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Thomas C Rindflesch

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P2860

Prediction of cancer drugs by chemical-chemical interactions

The Unified Medical Language System (UMLS): integrating biomedical terminology.

Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

Using semantic predications to uncover drug-drug interactions in clinical data.

Extracting semantic predications from Medline citations for pharmacogenomics.

The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text.

Link test--A statistical method for finding prostate cancer biomarkers.

Using the literature-based discovery paradigm to investigate drug mechanisms

The impact of androgen deprivation on quality of life after radical prostatectomy for prostate carcinoma.

Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts.

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scholarly article

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10.4137/CIN.S13889

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English

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Suppl 1

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http://www.w3.org/2001/XMLSchema#string

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2014-01-01T00:00:00Z

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268233548

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25392688

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4216049

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Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

about

P2860

P2860

Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

description

name

type

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P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P932