메뉴 건너뛰기




Volumn , Issue , 2004, Pages 32-36

Genetic network reverse-engineering and network size; can we identify large GRNs?

Author keywords

Hillclimbing; Reverse engineering genetic networks

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; MATHEMATICAL MODELS; NEURAL NETWORKS; REVERSE ENGINEERING; VECTORS;

EID: 17044375352     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (23)
  • 1
    • 0032837252 scopus 로고    scopus 로고
    • Computational methods for identification of differential and co-ordinated gene expression
    • Claverie, J. (1999) Computational methods for identification of differential and co-ordinated gene expression, Hum Mol Genet 8: 1821-32.
    • (1999) Hum Mol Genet , vol.8 , pp. 1821-1832
    • Claverie, J.1
  • 2
    • 0033736476 scopus 로고    scopus 로고
    • Genetic network inference: From co-expression clustering to reverse engineering
    • D'haeseleer, P., Liang, S., Somogyi, R (2000). Genetic network inference: from co-expression clustering to reverse engineering. Bioinformatics 16: 707-726.
    • (2000) Bioinformatics , vol.16 , pp. 707-726
    • D'Haeseleer, P.1    Liang, S.2    Somogyi, R.3
  • 3
    • 0010850241 scopus 로고    scopus 로고
    • Statistical issues in reverse engineering of genetic networks
    • Herz, J. (1998) Statistical issues in reverse engineering of genetic networks, Pacific Symposium on Biocomputing 98, http:///www.nordita.dk/hertz/ papers/dgshort.ps.gz
    • (1998) Pacific Symposium on Biocomputing 98
    • Herz, J.1
  • 4
    • 0035319006 scopus 로고    scopus 로고
    • Computational studies of gene regulatory networks: In numero molecular biology
    • Hasty, J., McMillen, D., Isaacs, F., Collins, J.J. (2001) Computational studies of gene regulatory networks: in numero molecular biology, Nature Reviews: Genetics, 2: 268-279.
    • (2001) Nature Reviews: Genetics , vol.2 , pp. 268-279
    • Hasty, J.1    McMillen, D.2    Isaacs, F.3    Collins, J.J.4
  • 5
    • 0033707946 scopus 로고    scopus 로고
    • Using Bayesian networks to analyze gene expression data
    • Friedman, N., Linial, M., Nachman, I., Pe'er. D. (2000). Using Bayesian networks to analyze gene expression data. J. Comp. Biol. 7: 601-620.
    • (2000) J. Comp. Biol. , vol.7 , pp. 601-620
    • Friedman, N.1    Linial, M.2    Nachman, I.3    Pe'er, D.4
  • 7
    • 0031616241 scopus 로고    scopus 로고
    • REVEAL: A general reverse engineering algorithm for inference of genetic network architectures
    • Liang, S., Fuhrman, S., Somogyi, R. (1998). REVEAL: a general reverse engineering algorithm for inference of genetic network architectures. Pac. Symp. Biocomputing 3.
    • (1998) Pac. Symp. Biocomputing , vol.3
    • Liang, S.1    Fuhrman, S.2    Somogyi, R.3
  • 8
    • 4344637997 scopus 로고    scopus 로고
    • Inferring a system of differential equations for a gene regulatory network by using genetic programming
    • IEEE Press
    • Sakamoto, E., Iba, H. (2000). Inferring a system of differential equations for a gene regulatory network by using genetic programming. Proc. IEEE Cong. E.C., IEEE Press.
    • (2000) Proc. IEEE Cong. E.C.
    • Sakamoto, E.1    Iba, H.2
  • 9
    • 4344693709 scopus 로고    scopus 로고
    • Evolutionary inference of a biological system as differential equations by genetic programming
    • Sakamoto, E., Iba, H. (2001). Evolutionary inference of a biological system as differential equations by genetic programming. Genome Informatics 12: 276-277.
    • (2001) Genome Informatics , vol.12 , pp. 276-277
    • Sakamoto, E.1    Iba, H.2
  • 11
    • 0000042837 scopus 로고    scopus 로고
    • Evaluating functional network inference using simulations of complex biological systems
    • Smith, V. A., Jarvis, E.D.,Hartemink, A.J. Evaluating functional network inference using simulations of complex biological systems Bioinformatics 18: 216-224, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 216-224
    • Smith, V.A.1    Jarvis, E.D.2    Hartemink, A.J.3
  • 12
    • 0036366689 scopus 로고    scopus 로고
    • Combining location and expresion data for principled discovery of genetic regulatory network models
    • Hartemink, A.J., D.K. Clifford, T.S. Jaakola, R.A. Young, Combining location and expresion data for principled discovery of genetic regulatory network models. Pacific Symposium on Biocomputing 7:437-449, 2002.
    • (2002) Pacific Symposium on Biocomputing , vol.7 , pp. 437-449
    • Hartemink, A.J.1    Clifford, D.K.2    Jaakola, T.S.3    Young, R.A.4
  • 13
    • 4344694833 scopus 로고    scopus 로고
    • Investigating issues in the reconstructability of genetic regulatory networks
    • IEEE Publications
    • Corne, D., Pridgeon, C. (2004) Investigating issues in the reconstructability of genetic regulatory networks, in Proc. of the 2004 IEEE Congress on Evolutionary Computation, IEEE Publications, pp. 583 - 589.
    • (2004) Proc. of the 2004 IEEE Congress on Evolutionary Computation , pp. 583-589
    • Corne, D.1    Pridgeon, C.2
  • 18
    • 0037270514 scopus 로고    scopus 로고
    • Towards reconstruction of gene networks from expression data by supervised learning
    • Soinov M.A. Krestyaninova, A. Brazma "Towards reconstruction of gene networks from expression data by supervised learning",Genome Biol, 4 (1): R6, 2003.
    • (2003) Genome Biol , vol.4 , Issue.1
    • Krestyaninova, S.M.A.1    Brazma, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.