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Subject

Co-occurrence Based Drug-disease Relationship Inference with Genes as Mediators
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유전자를 중간 매개로 고려한 동시발생 기반의 약물-질병 관계 추론

논문 기본 정보

Type
Academic journal
Author
Sangwon Shin (가천대학교) Yeeun Sin (가천대학교) Giup Jang (가천대학교) Youngmi Yoon (가천대학교)
Journal
Korean Institute of Information Technology The Journal of Korean Institute of Information Technology Vol.16 No.11 KCI Accredited Journals
Published
2018.11
Pages
1 - 9 (9page)
DOI
10.14801/jkiit.2018.16.11.1

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Result
Co-occurrence Based Drug-disease Relationship Inference with Genes as Mediators
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Abstract· Keywords

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Drug repositioning is to discover new uses of drugs. Text mining derives knowledge from unstructured text. We propose a method to predict new drug-disease relationships by taking into account the rate of frequency of genes simultaneously measured in disease-gene and gene-drug. Co-occurrence of drug-gene and gene-disease in the biological literature is counted and calculate the rate of the gene for each drug and disease. Weights of drug-disease relationships are calculated using the average of the rates of genes that are measured and used to measure the accuracy for each disease. In measuring drug-disease relationships, a more accurate identification of relationships was shown by measuring the frequency on a sentence and considering multiple relationships than existing method.

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 실험 데이터
Ⅲ. 동시발생 기반 약물-질병 관계 추론
Ⅳ. 성능 평가
Ⅴ. 결론 및 향후 과제
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UCI(KEPA) : I410-ECN-0101-2019-004-000059104