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Volumn 4, Issue 4, 2007, Pages 648-660

An intelligent two-stage evolutionary algorithm for dynamic pathway identification from gene expression profiles

Author keywords

Divide and conquer; Evolutionary algorithm; Genetic network; Orthogonal experimental design; Pathway identification; S system model

Indexed keywords

CELLULAR ARRAYS; DIFFERENTIAL EQUATIONS; EVOLUTIONARY ALGORITHMS; PROBLEM SOLVING; SIMULATED ANNEALING; TIME SERIES ANALYSIS;

EID: 36249014245     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/tcbb.2007.1051     Document Type: Conference Paper
Times cited : (51)

References (29)
  • 1
    • 0034659898 scopus 로고    scopus 로고
    • Genomics, Gene Expression and DNA Arrays
    • June
    • D.J. Lockhart and E.A. Winzeler, "Genomics, Gene Expression and DNA Arrays," Nature, vol. 405, no. 15, pp. 827-836, June 2000.
    • (2000) Nature , vol.405 , Issue.15 , pp. 827-836
    • Lockhart, D.J.1    Winzeler, E.A.2
  • 2
    • 0036843965 scopus 로고    scopus 로고
    • Gene Networks: How to Put the Function in Genomics
    • P. Brazhnik, A. de la Fuente, and P. Mendes, "Gene Networks: How to Put the Function in Genomics," Trends in Biotechnology, vol. 20, no. 11, pp. 467-472, 2002.
    • (2002) Trends in Biotechnology , vol.20 , Issue.11 , pp. 467-472
    • Brazhnik, P.1    de la Fuente, A.2    Mendes, P.3
  • 3
    • 0033677274 scopus 로고    scopus 로고
    • Algorithms for Identifying Boolean Networks and Related Biological Networks Based on Matrix Multiplication and Fingerprint Function
    • T. Akutsu, S. Miyano, and S. Kuhara, "Algorithms for Identifying Boolean Networks and Related Biological Networks Based on Matrix Multiplication and Fingerprint Function," J. Computational Biology, vol. 7, no. 3, pp. 331-343, 2000.
    • (2000) J. Computational Biology , vol.7 , Issue.3 , pp. 331-343
    • Akutsu, T.1    Miyano, S.2    Kuhara, S.3
  • 4
    • 0032616683 scopus 로고    scopus 로고
    • Identification of Genetic Networks from a Small Number of Gene Expression Patterns under the Boolean Network Model
    • T. Akutsu, S. Miyano, and S. Kuhura, "Identification of Genetic Networks from a Small Number of Gene Expression Patterns under the Boolean Network Model," Proc. Pacific Symp. Biocomputing, pp. 17-28, 1999.
    • (1999) Proc. Pacific Symp. Biocomputing , pp. 17-28
    • Akutsu, T.1    Miyano, S.2    Kuhura, S.3
  • 5
    • 0031616241 scopus 로고    scopus 로고
    • REVEAL, a General Reverse Engineering Algorithm for Inference of Genetic Network Architectures
    • S. Liang, S. Fuhrman, and R. Somogyi, "REVEAL, a General Reverse Engineering Algorithm for Inference of Genetic Network Architectures," Proc. Pacific Symp. Biocomputing, vol. 3, pp. 18-29, 1998.
    • (1998) Proc. Pacific Symp. Biocomputing , vol.3 , pp. 18-29
    • Liang, S.1    Fuhrman, S.2    Somogyi, R.3
  • 6
    • 0033707946 scopus 로고    scopus 로고
    • Using Bayesian Networks to Analyze Expression Data
    • N. Friedman, M. Linial, I. Nachman, and D. Pe'er, "Using Bayesian Networks to Analyze Expression Data," J. Computational Biology, vol. 7, no. 3, pp. 601-620, 2000.
    • (2000) J. Computational Biology , vol.7 , Issue.3 , pp. 601-620
    • Friedman, N.1    Linial, M.2    Nachman, I.3    Pe'er, D.4
  • 7
    • 0344464762 scopus 로고    scopus 로고
    • Sensitivity and Specificity of Inferring Genetic Regulatory Interactions from Microarray Experiments with Dynamic Bayesian Networks
    • D. Husmeier, "Sensitivity and Specificity of Inferring Genetic Regulatory Interactions from Microarray Experiments with Dynamic Bayesian Networks," Bioinformatics, vol. 19, pp. 2271-2282, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 2271-2282
    • Husmeier, D.1
  • 8
    • 12344259602 scopus 로고    scopus 로고
    • Advances to Bayesian Network Inference for Generating Causal Networks from Observational Biological Data
    • J. Yu, V.A. Smith, P.P. Wang, A.J. Hartemink, and E.D. Jarvis, "Advances to Bayesian Network Inference for Generating Causal Networks from Observational Biological Data," Bioinformatics, vol. 20, pp. 3594-3603, 2004.
    • (2004) Bioinformatics , vol.20 , pp. 3594-3603
    • Yu, J.1    Smith, V.A.2    Wang, P.P.3    Hartemink, A.J.4    Jarvis, E.D.5
  • 9
    • 12744261506 scopus 로고    scopus 로고
    • A New Dynamic Bayesian Network (DBN) Approach for Identifying Gene Regulatory Networks from Time Course Microarray Data
    • M. Zou and S.D. Conzen, "A New Dynamic Bayesian Network (DBN) Approach for Identifying Gene Regulatory Networks from Time Course Microarray Data," Bioinformatics, vol. 21, no. 1, pp. 71-79, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.1 , pp. 71-79
    • Zou, M.1    Conzen, S.D.2
  • 10
    • 0037461033 scopus 로고    scopus 로고
    • Dynamic Modeling of Genetic Networks Using Genetic Algorithm and S-System
    • S. Kikuchi, D. Tominaga, M. Arita, K. Takahashi, and M. Tomita, "Dynamic Modeling of Genetic Networks Using Genetic Algorithm and S-System," Bioinformatics, vol. 19, pp. 643-650, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 643-650
    • Kikuchi, S.1    Tominaga, D.2    Arita, M.3    Takahashi, K.4    Tomita, M.5
  • 11
    • 16344364990 scopus 로고    scopus 로고
    • Inference of S-System Models of Genetic Networks from Noisy Time-Series Data
    • S. Kimura, M. Hatakeyama, and A. Konagaya, "Inference of S-System Models of Genetic Networks from Noisy Time-Series Data," Chem-Bio Informatics J., vol. 4, no. 1, pp. 1-14, 2004.
    • (2004) Chem-Bio Informatics J , vol.4 , Issue.1 , pp. 1-14
    • Kimura, S.1    Hatakeyama, M.2    Konagaya, A.3
  • 14
    • 84901454547 scopus 로고    scopus 로고
    • Finding Multiple Solutions Based on an Evolutionary Algorithm for Inference of Genetic Networks by S-System
    • R. Morishita, H. Imade, I. Ono, N. Ono, and M. Okamoto, "Finding Multiple Solutions Based on an Evolutionary Algorithm for Inference of Genetic Networks by S-System," Proc. Congress Evolutionary Computation, vol. 1, pp. 615-622, 2003.
    • (2003) Proc. Congress Evolutionary Computation , vol.1 , pp. 615-622
    • Morishita, R.1    Imade, H.2    Ono, I.3    Ono, N.4    Okamoto, M.5
  • 15
    • 28844453869 scopus 로고    scopus 로고
    • A Fitting Based Method for Parameter Estimation in SSystems
    • C. Seatzu, "A Fitting Based Method for Parameter Estimation in SSystems," Dynamic Systems and Applications, vol. 9, pp. 77-98, 2000.
    • (2000) Dynamic Systems and Applications , vol.9 , pp. 77-98
    • Seatzu, C.1
  • 16
    • 0000000513 scopus 로고    scopus 로고
    • Efficient Numerical Optimization Algorithm Based on Genetic Algorithm for Inverse Problem
    • D. Tominaga, N. Koga, and M. Okamoto, "Efficient Numerical Optimization Algorithm Based on Genetic Algorithm for Inverse Problem," Proc. Genetic and Evolutionary Computation Conf., pp. 251-258, 2000.
    • (2000) Proc. Genetic and Evolutionary Computation Conf , pp. 251-258
    • Tominaga, D.1    Koga, N.2    Okamoto, M.3
  • 17
    • 16344385431 scopus 로고    scopus 로고
    • Evolutionary Optimization with Data Collocation for Reverse Engineering of Biological Networks
    • K.-Y. Tsai and F.-S. Wang, "Evolutionary Optimization with Data Collocation for Reverse Engineering of Biological Networks," Bioinformatics, vol. 21, pp. 1180-1188, 2005.
    • (2005) Bioinformatics , vol.21 , pp. 1180-1188
    • Tsai, K.-Y.1    Wang, F.-S.2
  • 18
    • 4444351989 scopus 로고    scopus 로고
    • Decoupling Dynamical Systems for Pathway Identification from Metabolic Profiles
    • E.O. Voit and J. Almeida, "Decoupling Dynamical Systems for Pathway Identification from Metabolic Profiles," Bioinformatics, vol. 20, pp. 1670-1681, 2004.
    • (2004) Bioinformatics , vol.20 , pp. 1670-1681
    • Voit, E.O.1    Almeida, J.2
  • 19
    • 0027308248 scopus 로고
    • Metabolic Pathway Characterization from Transient-Response Data Obtained In-Situ-Parameter-Estimation in S-System Models
    • A. Sorribas, S. Samitier, E.I. Canela, and M. Cascante, "Metabolic Pathway Characterization from Transient-Response Data Obtained In-Situ-Parameter-Estimation in S-System Models," J. Theoretical Biology, vol. 162, pp. 81-102, 1993.
    • (1993) J. Theoretical Biology , vol.162 , pp. 81-102
    • Sorribas, A.1    Samitier, S.2    Canela, E.I.3    Cascante, M.4
  • 20
    • 0242574982 scopus 로고    scopus 로고
    • Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods
    • C.G. Moles, P. Mendes, and J.R. Banga, "Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods," Genome Research, vol. 13, pp. 2467-2474, 2003.
    • (2003) Genome Research , vol.13 , pp. 2467-2474
    • Moles, C.G.1    Mendes, P.2    Banga, J.R.3
  • 21
    • 33745726568 scopus 로고    scopus 로고
    • Inference of Scale-Free Networks from Gene Expression Time Series
    • Jan
    • D. Tominaga and P. Horton, "Inference of Scale-Free Networks from Gene Expression Time Series," J. Bioinformatics and Computational Biology, vol. 4, no. 2, pp. 503-514, Jan. 2006.
    • (2006) J. Bioinformatics and Computational Biology , vol.4 , Issue.2 , pp. 503-514
    • Tominaga, D.1    Horton, P.2
  • 22
    • 11844263947 scopus 로고    scopus 로고
    • Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems
    • Dec
    • S.-Y. Ho, L.-S. Shu, and J.-H. Chen, "Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems," IEEE Trans. Evolutionary Computation, vol. 8, no. 6, pp. 522-541, Dec. 2004.
    • (2004) IEEE Trans. Evolutionary Computation , vol.8 , Issue.6 , pp. 522-541
    • Ho, S.-Y.1    Shu, L.-S.2    Chen, J.-H.3
  • 25
    • 4444356707 scopus 로고    scopus 로고
    • OSA: Orthogonal Simulated Annealing Algorithm and Its Application to Designing Mixed H-2/H-Infinity Optimal Controllers
    • Sept
    • S.-J. Ho, S.-Y. Ho, and L.-S. Shu, "OSA: Orthogonal Simulated Annealing Algorithm and Its Application to Designing Mixed H-2/H-Infinity Optimal Controllers," IEEE Trans. Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 34, no. 5, pp. 588-600, Sept. 2004.
    • (2004) IEEE Trans. Systems, Man, and Cybernetics-Part A: Systems and Humans , vol.34 , Issue.5 , pp. 588-600
    • Ho, S.-J.1    Ho, S.-Y.2    Shu, L.-S.3
  • 26
    • 33745147536 scopus 로고    scopus 로고
    • Optimizing Fuzzy Neural Networks for Tuning PID Controllers Using an Orthogonal Simulated Annealing Algorithm OSA
    • June
    • S.-J. Ho, L.-S. Shu, and S.-Y. Ho, "Optimizing Fuzzy Neural Networks for Tuning PID Controllers Using an Orthogonal Simulated Annealing Algorithm OSA," IEEE Trans. Fuzzy Systems, vol. 14, no. 3, pp. 421-434, June 2006.
    • (2006) IEEE Trans. Fuzzy Systems , vol.14 , Issue.3 , pp. 421-434
    • Ho, S.-J.1    Shu, L.-S.2    Ho, S.-Y.3
  • 27
    • 0032077377 scopus 로고    scopus 로고
    • From Specific Gene Regulation to Genomic Networks: A Global Analysis of Transcriptional Regulation in Escherichia Coli
    • D. Thieffry, A.M. Huerta, E. Perez-Rueda, and J. Collado-Vides, "From Specific Gene Regulation to Genomic Networks: A Global Analysis of Transcriptional Regulation in Escherichia Coli," BioEssays, vol. 20, pp. 433-440, 1998.
    • (1998) BioEssays , vol.20 , pp. 433-440
    • Thieffry, D.1    Huerta, A.M.2    Perez-Rueda, E.3    Collado-Vides, J.4
  • 28
    • 45949121309 scopus 로고
    • Fast Simulated Annealing
    • H. Szu and R. Hartley, "Fast Simulated Annealing," Physics Letters, vol. 122, pp. 157-162, 1987.
    • (1987) Physics Letters , vol.122 , pp. 157-162
    • Szu, H.1    Hartley, R.2
  • 29
    • 0035094468 scopus 로고    scopus 로고
    • Quasi-Convexity and Optimal Binary Fusion for Distributed Detection with Identical Sensors in Generalized Gaussian Noise
    • S. Wei, T.W. Sun, and R.D. Wesel, "Quasi-Convexity and Optimal Binary Fusion for Distributed Detection with Identical Sensors in Generalized Gaussian Noise," IEEE Trans. Information Theory, vol. 47, no. 1, pp. 446-450, 2001.
    • (2001) IEEE Trans. Information Theory , vol.47 , Issue.1 , pp. 446-450
    • Wei, S.1    Sun, T.W.2    Wesel, R.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.