NDLI: Quantitative measurement of clinic-genomic association for colorectal cancer using literature mining and Google-distance algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yaning Feng Ling Zheng Liying Song Huilong Duan Ning Deng
Copyright Year	2014
Description	Author affiliation: Key Lab. for Biomed. Eng., Zhejiang Univ., Hangzhou, China (Yaning Feng; Ling Zheng; Liying Song; Huilong Duan; Ning Deng)
Abstract	Nowadays, a growing number of researchers devote themselves to re-excavation of existing biomedical knowledge discovery, focusing on how to establish associations between clinical and genomic data. However, quantitative analysis is still inadequate for a particular disease. Colorectal cancer is the one of malignant tumors whose molecular mechanism is relatively clear, making it a more appropriate object of study. This paper proposed a quantitative measurement of clinic-genomic associations for colorectal cancer based on Google Distance, using MEDLINE database as the corpus. Our method is engineered with several technologies, including mapping clinic and genomic data to MeSH terms, modifying Normalized Google Distance using year average. Data from Electronic Medical Records (EMR), Online Mendelian Inheritance in Man (OMIM), and Genetic Association Database (GAD) were used in this study. A total of 3795 clinic-genomic associations of colorectal cancer between 67 clinical concepts and 236 genes were obtained, of which 584 associations were identified for their gene is contained in the colorectal cancer pathway using KEGG pathway analysis. Assessment and interpretation were conducted using KEGG, GeneCards, and then getting new discoveries. This method is valid in quantitative analysis using biomedical literature and achieves a good performance in measuring the clinical data and genomic data, which can be transplanted to other disease research.
Starting Page	734
Ending Page	739
File Size	1305919
Page Count	6
File Format	PDF
e-ISBN	9781479958382
DOI	10.1109/BMEI.2014.7002870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Google Databases colorectal cancer google distance Genomics literature mining Bioinformatics PubMed association mining Cancer Diseases
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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