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Volumn 4414 LNBI, Issue , 2007, Pages 343-356

Bayesian inference for 2D gel electrophoresis image analysis

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; IMAGE ANALYSIS; MONTE CARLO METHODS; PROTEINS;

EID: 34548087085     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-71233-6_27     Document Type: Conference Paper
Times cited : (11)

References (16)
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    • Optimal spatial adaptation to inhomogeneous smoothness: And approach based on kernel estimates with variable bandwith selectors
    • Lepski, O. V., Mammen, E., Spokoiny, V. G.: Optimal spatial adaptation to inhomogeneous smoothness: and approach based on kernel estimates with variable bandwith selectors, The Annuals of statistics,. 25, (1997), 929-947.
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    • Lepski, O.V.1    Mammen, E.2    Spokoiny, V.G.3
  • 6
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    • Automated 2-D gel electrophoresis spot excision using Ettan Spot Picker in proteomics research
    • Amersham Pharmacia Biotech
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    • Godsill, S.J.1
  • 8
    • 0042861611 scopus 로고    scopus 로고
    • The role of bioinformatics in twodimensional gel electrophoresis
    • Dowsey,A.W., Michael,J.D., Yang,G.: The role of bioinformatics in twodimensional gel electrophoresis, PROTEOMICS, 3, (2002), 1567-1596.
    • (2002) PROTEOMICS , vol.3 , pp. 1567-1596
    • Dowsey, A.W.1    Michael, J.D.2    Yang, G.3
  • 10
    • 0037390115 scopus 로고    scopus 로고
    • A novel approach to spot detection for two-dimensional gel electrophoresis images using pixel value collection
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    • Current two-dimensional electrophoresis technology for proteomics
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.