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Gene Prioritization of Resistant Rice Gene against Xanthomas oryzae pv. oryzae by Using Text Mining Technologies.

To effectively assess the possibility of the unknown rice protein resistant to Xanthomonas oryzae pv. oryzae, a hybrid strategy is proposed to enhance gene prioritization by combining text mining technologies with a sequence-based approach. The text mining technique of term frequency inverse documen...

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Published in:BioMed Research International Vol. 2013; pp. 853043 - 853044
Main Authors: Xia, Jingbo, Zhang, Xing, Yuan, Daojun, Chen, Lingling, Webster, Jonathan, Fang, Alex Chengyu
Format: Journal Article
Published: Wiley-Blackwell 2013
Online Access:View this record in EBSCOhost
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      pub: Wiley-Blackwell
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        atl: Gene Prioritization of Resistant Rice Gene against Xanthomas oryzae pv. oryzae by Using Text Mining Technologies.
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          Xia, Jingbo
          Zhang, Xing
          Yuan, Daojun
          Chen, Lingling
          Webster, Jonathan
          Fang, Alex Chengyu
        affil: College of Science, Huazhong Agricultural University, Wuhan 430070, Hubei, China ; Department of Chinese, Translation and Linguistics, City University of Hong Kong, Kowloon, Hong Kong.
      sug:
        subj:
          Algorithms
          Data Mining
          Rice
          Xanthomonas
          Genetic Techniques
          Rice Microbiology
      ab: To effectively assess the possibility of the unknown rice protein resistant to Xanthomonas oryzae pv. oryzae, a hybrid strategy is proposed to enhance gene prioritization by combining text mining technologies with a sequence-based approach. The text mining technique of term frequency inverse document frequency is used to measure the importance of distinguished terms which reflect biomedical activity in rice before candidate genes are screened and vital terms are produced. Afterwards, a built-in classifier under the chaos games representation algorithm is used to sieve the best possible candidate gene. Our experiment results show that the combination of these two methods achieves enhanced gene prioritization.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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