메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Gene regulatory network from microarray data using dynamic neural fuzzy approach

Author keywords

Fuzzy logic; Gene regulatory networks; Microarray data; Neurofuzzy logic

Indexed keywords

BIOLOGICAL INSIGHT; COLON CANCER; DYNAMIC ASPECTS; FAST LEARNING; FUZZY APPROACH; FUZZY REASONING; GENE REGULATIONS; GENE REGULATORY NETWORKS; HIDDEN NODES; MICROARRAY DATA; MULTI-LAYERED; NEURAL FUZZY; NEURAL FUZZY NETWORKS; NEURO-FUZZY LOGIC; ONLINE LEARNING; OPTIMAL STRUCTURES; PARAMETER LEARNING; REGULATORY RELATIONSHIPS; STRUCTURAL LEARNING;

EID: 77951600822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1722024.1722044     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 1
    • 0032616683 scopus 로고    scopus 로고
    • Identification of genetic networks from a small number of gene expression patterns under the boolean network model
    • Akutsu, T., Miyano, S., and Kuhara, S., Identification of genetic networks from a small number of gene expression patterns under the boolean network model, Pacific Symposium on Biocomputing, 4, 1999, 17-28.
    • (1999) Pacific Symposium on Biocomputing , vol.4 , pp. 17-28
    • Akutsu, T.1    Miyano, S.2    Kuhara, S.3
  • 2
    • 0036843965 scopus 로고    scopus 로고
    • Gene networks: How to put the function in genomics
    • Brazhnik, P., de la Fuente, A., and Mendes, P. Gene networks: how to put the function in genomics, Trends Biotechnol., 20, 2002, 467-472.
    • (2002) Trends Biotechnol. , vol.20 , pp. 467-472
    • Brazhnik, P.1    De La Fuente, A.2    Mendes, P.3
  • 3
    • 70349761106 scopus 로고    scopus 로고
    • A Systems biology approach to construct the gene regulatory network of systematic inflammation via microarray and database mining
    • Bor-Sen C., Shih, K. Y., Chung-Yu L. and Yung-Jen Chuang. A Systems biology approach to construct the gene regulatory network of systematic inflammation via microarray and database mining, BMC Medical Genomics, 2008.
    • (2008) BMC Medical Genomics
    • Bor-Sen, C.1    Shih, K.Y.2    Chung-Yu, L.3    Chuang, Y.-J.4
  • 6
    • 0036207347 scopus 로고    scopus 로고
    • Modeling and simulation of genetic regulatory systems: A literature review
    • De Jong, H. Modeling and simulation of genetic regulatory systems: a literature review, Journal of Computational Biology, 9, 1, 2002, 67-102.
    • (2002) Journal of Computational Biology , vol.9 , Issue.1 , pp. 67-102
    • De Jong, H.1
  • 7
    • 33947691204 scopus 로고    scopus 로고
    • Reverse Engineering Yeast Gene Regulatory Networks Using Graphical Models
    • Michelle
    • Jiayin, W., Yufei, H., Maribel, S., Yufeng Wang, Jianqiu (Michelle) Zhang.: Reverse Engineering Yeast Gene Regulatory Networks Using Graphical Models, ICASSP IEEE, 2006, 1088-1091.
    • (2006) ICASSP IEEE , pp. 1088-1091
    • Jiayin, W.1    Yufei, H.2    Maribel, S.3    Wang, Y.4    Zhang, J.5
  • 8
    • 0034571146 scopus 로고    scopus 로고
    • Inferring genetic networks from DNA microarray data by multiple regression analysis
    • Kato, M., Tsunoda, T., Takagi, T., Inferring genetic networks from DNA microarray data by multiple regression analysis, Genome Informatics, 11, 2000, 118-128.
    • (2000) Genome Informatics , vol.11 , pp. 118-128
    • Kato, M.1    Tsunoda, T.2    Takagi, T.3
  • 14
    • 0035082045 scopus 로고    scopus 로고
    • Neural network model of gene expression
    • DOI 10.1096/fj.00-0361com
    • Vohradsky, J., Neural network model of gene expression, The FASEB Journal, 2001, vol. 15, March, pp.846-854. (Pubitemid 32246003)
    • (2001) FASEB Journal , vol.15 , Issue.3 , pp. 846-854
    • Vohradsky, J.1
  • 15
    • 0034729586 scopus 로고    scopus 로고
    • A fuzzy logic approach to analyzing gene expression data
    • Woolf P. I, and Wang Y., A fuzzy logic approach to analyzing gene expression data, Physiological Genomics, 3, 2000, 9-15.
    • (2000) Physiological Genomics , vol.3 , pp. 9-15
    • Woolf, P.I.1    Wang, Y.2
  • 16
    • 77951535030 scopus 로고    scopus 로고
    • Adaptive Nested Neural Network (ANNN) based on Human Gene Regulatory Network for gene knowledge Discovery Engine
    • Zainal, A., Hasibuan, R. , Fadilah, R., Muhammad, F. P., Rahmat, B., Adaptive Nested Neural Network (ANNN) based on Human Gene Regulatory Network for gene knowledge Discovery Engine, IJCSNS, 9,6, 2009.
    • (2009) IJCSNS , vol.9 , pp. 6
    • Zainal, A.1    Hasibuan, R.2    Fadilah, R.3    Muhammad, F.P.4    Rahmat, B.5
  • 17
    • 45349096041 scopus 로고    scopus 로고
    • American Cancer Society: Atlanta, Ga: American Cancer Society
    • American Cancer Society: Cancer Facts and Figures, Atlanta, Ga: American Cancer Society, 2008.
    • (2008) Cancer Facts and Figures


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.