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Volumn 2005, Issue , 2005, Pages 323-328

FPGA-accelerated Bayesian learning for reconstruction of gene regulatory networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE; DATA MINING; FIELD PROGRAMMABLE GATE ARRAYS; GENES; LEARNING SYSTEMS; LOGIC DESIGN;

EID: 33746932884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FPL.2005.1515742     Document Type: Conference Paper
Times cited : (21)

References (10)
  • 4
    • 10244230983 scopus 로고    scopus 로고
    • Reconstruction of gene networks using Bayesian learning and manipulation experiments
    • I. Pournara and L. Wernisch, "Reconstruction of gene networks using Bayesian learning and manipulation experiments," Bioinformatics, vol. 20, pp. 2934-2942, 2004.
    • (2004) Bioinformatics , vol.20 , pp. 2934-2942
    • Pournara, I.1    Wernisch, L.2
  • 5
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. Chickering, "Learning Bayesian networks: The combination of knowledge and statistical data," Machine Learning, vol. 20, pp. 197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 10
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.