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Volumn , Issue , 2006, Pages 785-792

Modelling transcriptional regulation using Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

DECAY (ORGANIC); GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); TRANSCRIPTION;

EID: 85066264394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (12)
  • 2
    • 1942421122 scopus 로고    scopus 로고
    • Solving noisy linear operator equations by Gaussian processes: Application to ordinary and partial differential equations
    • T. Fawcett and N. Mishra, editors, pages AAAI Press
    • T. Graepel. Solving noisy linear operator equations by Gaussian processes: Application to ordinary and partial differential equations. In T. Fawcett and N. Mishra, editors, Proceedings of the International Conference in Machine Learning, volume 20, pages 234-241. AAAI Press, 2003.
    • (2003) Proceedings of the International Conference in Machine Learning , vol.20 , pp. 234-241
    • Graepel, T.1
  • 4
    • 24644460573 scopus 로고    scopus 로고
    • A tractable probabilistic model for affymetrix probe-level analysis across multiple chips
    • X. Liu, M. Milo, N. D. Lawrence, and M. Rattray. A tractable probabilistic model for affymetrix probe-level analysis across multiple chips. Bioinformatics, 21(18):3637-3644, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.18 , pp. 3637-3644
    • Liu, X.1    Milo, M.2    Lawrence, N. D.3    Rattray, M.4
  • 10
    • 33645107349 scopus 로고    scopus 로고
    • Bayesian sparse hidden components analysis for transcription regulation networks
    • C. Sabatti and G. M. James. Bayesian sparse hidden components analysis for transcription regulation networks. Bioinformatics, 22(6):739-746, 2006.
    • (2006) Bioinformatics , vol.22 , Issue.6 , pp. 739-746
    • Sabatti, C.1    James, G. M.2
  • 11
    • 33747884281 scopus 로고    scopus 로고
    • A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
    • G. Sanguinetti, M. Rattray, and N. D. Lawrence. A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. Bioinformatics, 22(14):1753-1759, 2006.
    • (2006) Bioinformatics , vol.22 , Issue.14 , pp. 1753-1759
    • Sanguinetti, G.1    Rattray, M.2    Lawrence, N. D.3
  • 12
    • 0000704059 scopus 로고    scopus 로고
    • Computation with infinite neural networks
    • C. K. I. Williams. Computation with infinite neural networks. Neural Computation, 10(5):1203-1216, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1203-1216
    • Williams, C. K. I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.