Gene prioritization of resistant rice gene against xanthomas oryzae pv. oryzae by using text mining technologies

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Jingbo Xia
  • Xing Zhang
  • Daojun Yuan
  • Lingling Chen

Detail(s)

Original languageEnglish
Article number853043
Journal / PublicationBioMed Research International
Volume2013
Publication statusPublished - 2013

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Abstract

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. © 2013 Jingbo Xia et al.

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