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Volumn , Issue , 2007, Pages 2709-2716

Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis

Author keywords

Aptamer; Cardiovascular disease; Diagnosis; Evolutionary computation; Hypergraph; Hypernetwork

Indexed keywords

CARDIOVASCULAR SYSTEM; DIAGNOSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEDICAL COMPUTING; NEURAL NETWORKS;

EID: 34548062027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1274000.1274073     Document Type: Conference Paper
Times cited : (19)

References (14)
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  • 2
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    • All in the RNA family
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    • (2000) Biosensor & Bioelectronics , vol.15 , Issue.11-12 , pp. 549-578
    • Iqbal, S.S.1    Mayo, M.W.2    Bruno, J.G.3    Bronk, B.V.4    Batt, C.A.5    Chambers, J.P.6
  • 4
    • 0032860385 scopus 로고    scopus 로고
    • Aptamers: An emerging class of molecules that rival antibodies in diagnostics
    • Jayasena, S.D., "Aptamers: an emerging class of molecules that rival antibodies in diagnostics," Clinical Chemistry, 45(9), pp. 1628-1650, 1999.
    • (1999) Clinical Chemistry , vol.45 , Issue.9 , pp. 1628-1650
    • Jayasena, S.D.1
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  • 11
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    • Waikato Environment for Knowledge Ananlysis (Weka)
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  • 13
    • 34548840805 scopus 로고    scopus 로고
    • Random hypergraph models of learning and memory in biomolecular networks: Shorter-term adaptability vs. longer-term persistency
    • to appear
    • Zhang, B.-T., "Random hypergraph models of learning and memory in biomolecular networks: shorter-term adaptability vs. longer-term persistency," The 1st IEEE Symposium on Foundations of Computational Intelligence (FOCI '07), 2007 (to appear).
    • (2007) The 1st IEEE Symposium on Foundations of Computational Intelligence (FOCI '07)
    • Zhang, B.-T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.