Extracting alternative splicing information from captions and abstracts using natural language processing

Chia Yang Cheng; F.R. Hsu; Chuan Yi Tang

doi:10.1109/SUTC.2008.77

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Conference paper

Extracting alternative splicing information from captions and abstracts using natural language processing

Chia Yang Cheng, F.R. Hsu and Chuan Yi Tang

Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp.436-438

2008

DOI: https://doi.org/10.1109/SUTC.2008.77

Abstract

Engineering (all)

Alternative splicing mechanisms provide protein diversity for cellular growth and development. In this research, we generate a database to descript alternative splicing in different circumstance from captions and abstracts in Open Access Journals by using natural language processing techniques. We useMedical Subject Headings(MeSH) to tag words, and extract the AS mechanism information by UMLS semantic network. In this database, AS information in genes on tissue-specificity, disease-related, developmental stage, functional implications, splicing type and species are contained © 2008 IEEE.

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Title: Extracting alternative splicing information from captions and abstracts using natural language processing
Translated title: Extracting alternative splicing information from captions and abstracts using natural language processing
Creators - without role: Chia Yang Cheng - National Tsing Hua University
F.R. Hsu - Feng Chia University
Chuan Yi Tang - National Tsing Hua University
Identifiers: 9780769531588; 9957773794406774
Academic Unit: National Tsing Hua University
Language: English
Resource Type: Conference paper
Publication Details: Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp.436-438

Extracting alternative splicing information from captions and abstracts using natural language processing

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