Prediction of disease-resistant gene by using artificial neural network

ICRCCS 2009 - 2009 International Conference on Research Challenges in Computer Science

Volumn , Issue , 2009, Pages 81-84

  Xia, Jingbo ^a   Hu, Xuehai ^a   Shi, Feng ^a   Niu, Xiaohui ^a   Zhang, Silan ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

ANN; Bioinformatic; Feature reduction; Gene searching; Machine learning

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; FEATURE REDUCTION; FEATURE SELECTION; FUNCTIONAL GENES; GENE FINDING; MACHINE-LEARNING; RESISTANT GENES; RESUBSTITUTION;

BIOINFORMATICS; CLASSIFIERS; COMPUTER SCIENCE; COST REDUCTION; GENES; LEARNING SYSTEMS; RESEARCH;

NEURAL NETWORKS;

EID: 77949922211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRCCS.2009.28     Document Type: Conference Paper

References (26)

1. N. Kasabov, "Knowledge-based neural networks for gene expression data analysis", Modelling and profile discovery, DDT: BIOSILICO Vol. 2, No. 6, November, 2004.
2. C.H. Wu, "Artificial neural networks for molecular sequence analysis", Compurers Chem, 1997, 21(4), pp. 231-256.
3. X.P. Zhang, S.J. Zhang and X.Z.He, "Prediction of solubility of lysozyme in lysozyme - NaCl- H2O system with artificial neural network", Journal of Crystal Growth, 2004, 264, pp. 409-416.
4. M.W. Craven and J.W. Shavlik, "Using neural networks for data mining", Future Generation Computer Systems, 1997, 13, pp. 211-229.
5. S. Shah and A. Kusiak, "Cancer gene search with data-mining and genetic algorithms", Computers in Biology and Medicine, 2007, 37, pp. 251-261.
6. S.C. Shah and A. Kusiak, "Data mining and genetic algorithm based gene/SNP selection", Artificial Intelligence in Medicine, 2004, 31, pp.183-196.
7. J. Zhang, S. Liu and Y. Wang, "Gene association study with SVM, MLP and cross-validation for the diagnosis of diseases", Progress in Natural Science, 2008, 18, pp. 741-750.
8. E.A.M. Andrews, Q. Morris and A.J. Bonner, "Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse", Neurocomputing, 2008, 71, pp. 3168-3175.
9. Y. Cai and P. Bork, "Homology-Based Gene Prediction Using Neural Nets", ANALYTICAL BIOCHEMISTRY, 1998, 265, pp. 269-274.
10. Y.Zhou, Y. Liang, C. Hu and et al, "An artificial neural network method for combining gene prediction based on equitable weights", Neurocomputing, 2998, 71, pp. 538-543.
11. S.L. Zhang, D.F. Li Dong-fang, G.S. Zhang and et al, "The Prediction of Rice Gene by Fgenesh", Agricultural Sciences in China, 2008, 7(4), pp. 387-394.
12. W.Y. Song, G.L. Wang, L.L. Chen and et al, "A receptor kinase-like protein encoded by the rice disease resistance gene Xa21", Science, 1995, 270, pp. 1804-1806.
13. X. Sun, Y. Cao, Z. Yang and et al, "Xa26, a gene conferring resistance to Xanthomonas oryzae pv. oryzae in rice, encodes an LRR receptor kinase-like protein", Plant J, 2004, 37, pp. 517-527.
14. S. Yoshimura, U. Yamanouchi, Y. Katayose and et al, "Expression of Xa1 a bacterial blight-resistance gene in rice is induced by bacterial inoculation. Proc", Natl. Acad. Sci. U.S.A., 1998, 95 (4), pp. 1663-1668.
15. A.S. Iyer and S.R. McCouch, "The rice bacterial blight resistance gene xa5 encodes a novel form of disease resistance", Mol. Plant Microbe Interact, 2004, 17(12), pp. 1348-1354.
16. K. Gu, B. Yang, D. Tian and et al, " R gene expression induced by a type-III effector triggers disease resistance in rice", Nature, 2005, 435(7045), pp. 1122-1125.
17. R.C. Ronald and W.Y. Song, "Rice XA21 binding protein 3 is a ubiquitin ligase required for full Xa21-mediated disease resistance", Plant Cell, 2006, 18, pp. 3635-3646.
18. G. Ponciano, M. Yoshikawa, J.L. Lee and et al, "Pathogenesis related gene expression in rice is correlated with developmentally controlled Xa21-mediated resistance against Xanthomonas oryzae pv. Oryzae", Physiol Mol Plant Pathol, 2006, 69, pp. 131-139.
19. W. Xiaoming, L. Xianghua, X. Caiguo and et al, "Fine genetic mapping of xa24, a recessive gene for resistance against Xanthomonas oryzae pv. oryzae in rice", Theor Appl Genet, 2008, 118 (1), pp. 185-91.
20. Z. Chu and S. Wang, "Isolation, structure, function relationship, and molecular evolution of disease resistance genes". In Zhang, Q (Eds), Genetics and improvement of resistance to bacterial blight in rice, Beijing: Science Press, 2007, pp. 349-377.
21. Q. Zhang, "Genetics of quality resistance and identification of major resistance genes to rice bacterial blight", In Zhang, Q. (Eds.), Genetics and improvement of resistance to bacterial blight in rice, 2007, Beijing, Science Press, pp. 130-177.
22. X. Sun, Z. Yang, S. Wang and et al, "Identification of a 47 kb DNAfragment containing Xa4, a locus for bacterial blight resistance in rice", Theor Appl Genet, 2003, 106, pp. 683-687.
23. K. Gu, J.S. Sangha, Y. Li and et al, "High-resolution genetic mapping of bacterial blight resistance gene Xa10", Theor Appl Genet, 2008, 116, pp. 155-163.
24. Z. Chu, M. Yuan, J. Yao and et al, "Promoter mutations of an essential gene for pollen development result in disease resistance in rice", Genes Dev, 2006, 20(10), pp. 1250-1255.
25. Y. Xiang, Y. Cao, C. Xu and et al, "Xa3, conferringresistance for rice bacterial blight and encoding a receptor kinase-like protein, is the same as Xa26", Theor. Appl. Genet, 2006, 113 (7), pp. 1347-1355.
26. W. Li and et al, "Tolerating some redundancy significantly speeds up clustering of large protein databases", Bioinformatics, 2002, 18, pp. 77-82.