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Volumn 52, Issue 4, 2004, Pages 391-400

Mathematical methods for inferring regulatory networks interactions: Application to genetic regulation

Author keywords

[No Author keywords available]

Indexed keywords

BIOASSAY; MATHEMATICAL ANALYSIS; METHODOLOGY;

EID: 7744234763     PISSN: 00015342     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:ACBI.0000046605.48037.7d     Document Type: Article
Times cited : (16)

References (13)
  • 1
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    • Identification of genetic networks from a small number of gene expression patterns under the Boolean network model
    • Akutsu, T., S. Miyano and S. Kuhara (1999). Identification of genetic networks from a small number of gene expression patterns under the Boolean network model. Pacific Symposium Biocomputing 4: 17-28.
    • (1999) Pacific Symposium Biocomputing , vol.4 , pp. 17-28
    • Akutsu, T.1    Miyano, S.2    Kuhara, S.3
  • 2
    • 84952305058 scopus 로고    scopus 로고
    • Mathematical modelling in genetic networks: Relationships between the genetic expression and both chromosomic breakage and positive circuits
    • Bourbakis, N. (Ed.). IEEE, Piscataway
    • Aracena, J., S. Ben Lamine, M.A. Mermet, O. Cohen and J. Demongeot (2000). Mathematical modelling in genetic networks: relationships between the genetic expression and both chromosomic breakage and positive circuits. In: Bourbakis, N. (Ed.). BIBE 2000. pp. 141-149. IEEE, Piscataway.
    • (2000) BIBE 2000 , pp. 141-149
    • Aracena, J.1    Ben Lamine, S.2    Mermet, M.A.3    Cohen, O.4    Demongeot, J.5
  • 4
    • 7744244289 scopus 로고    scopus 로고
    • New segmenting and matching algorithms as tools for modelling and comparing medical images
    • Deville, M. and R. Owens (Eds). EPFL, Lausanne
    • Demongeot J. and M. Richard (2000). New segmenting and matching algorithms as tools for modelling and comparing medical images. In: Deville, M. and R. Owens (Eds). XVIth Imacs World Congress 2000. pp. 127-131. EPFL, Lausanne.
    • (2000) XVIth Imacs World Congress 2000 , pp. 127-131
    • Demongeot, J.1    Richard, M.2
  • 8
    • 0033736476 scopus 로고    scopus 로고
    • Genetic networks inference: From co-expression clustering to reverse engineering
    • D'Haeseleer, P., S. Liang and R. Somogyi (2000). Genetic networks 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
  • 9
    • 0036431126 scopus 로고    scopus 로고
    • On the Number of experiments Required to Find the Casual Structure of Complex Systems
    • Krupa, B.(2002). On the Number of experiments Required to Find the Casual Structure of Complex Systems, Journal of Theoretical Biology 219: 257-267.
    • (2002) Journal of Theoretical Biology , vol.219 , pp. 257-267
    • Krupa, B.1
  • 10
    • 0031616241 scopus 로고    scopus 로고
    • REVEAL, a general reverse engineering algorithm for inference of genetic network architectures
    • Liang, S., S. Furhman and R. Somogyi (1998). REVEAL, a general reverse engineering algorithm for inference of genetic network architectures. Pacific Symposium on Biocomputing 3: 18-29.
    • (1998) Pacific Symposium on Biocomputing , vol.3 , pp. 18-29
    • Liang, S.1    Furhman, S.2    Somogyi, R.3
  • 11
    • 0029028963 scopus 로고
    • Circuit simulation of genetic networks
    • McAdams H.H. and L. Shapiro (1995). Circuit simulation of genetic networks. Science 269: 650-656.
    • (1995) Science , vol.269 , pp. 650-656
    • McAdams, H.H.1    Shapiro, L.2
  • 12
    • 0032555224 scopus 로고    scopus 로고
    • Dynamics of the genetic regulatory network for Arabipdosis thaliana flower morphogenesis
    • Mendoza, L. and E.R. Alvarez-Buylla (1998). Dynamics of the genetic regulatory network for Arabipdosis thaliana flower morphogenesis, Journal of Theoretical Biology 193: 307-319.
    • (1998) Journal of Theoretical Biology , vol.193 , pp. 307-319
    • Mendoza, L.1    Alvarez-Buylla, E.R.2
  • 13
    • 0002054202 scopus 로고    scopus 로고
    • Modeling the complexity of genetic networks: Understanding multigene and pleiotropic regulation
    • Somogyi R. and C.A. Sniegoski (1996). Modeling the complexity of genetic networks: Understanding multigene and pleiotropic regulation. Complexity 1: 45-63.
    • (1996) Complexity , vol.1 , pp. 45-63
    • Somogyi, R.1    Sniegoski, C.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.