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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Detalles Bibliográficos
Publicado en:	BioMed Research International Vol. 2013; pp. 853043 - 853044
Autores principales:	Xia, Jingbo, Zhang, Xing, Yuan, Daojun, Chen, Lingling, Webster, Jonathan, Fang, Alex Chengyu
Formato:	Journal Article
Publicado:	Wiley-Blackwell 2013
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.