메뉴 건너뛰기




Volumn 44, Issue 3, 2001, Pages 195-209

Pattern recognition in flow cytometry

Author keywords

Artificial neural networks; Clustering; Multivariate statistics; Phytoplankto

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; CONFERENCE PAPER; DATA ANALYSIS; FLOW CYTOMETRY; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION; PHYTOPLANKTON; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 0035397276     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0320(20010701)44:3<195::AID-CYTO1112>3.0.CO;2-H     Document Type: Conference Paper
Times cited : (50)

References (86)
  • 7
    • 0000136798 scopus 로고
    • Analytical flow cytometry and its application to marine microbial ecology
    • Sleigh MA, editor. Microbes in the sea. Chichester: Ellis Horwood
    • (1987) , pp. 139-166
    • Burkill, P.H.1
  • 8
    • 0033834509 scopus 로고    scopus 로고
    • Flow cytometry and the single cell in phycology
    • (2000) J Phycol , vol.36 , pp. 628-644
    • Collier, J.L.1
  • 10
    • 0023145152 scopus 로고
    • On multiparameter data analysis in flow cytometry
    • (1987) Cytometry , vol.8 , pp. 184-189
    • Mann, R.C.1
  • 31
    • 0001794519 scopus 로고    scopus 로고
    • Artificial neural networks for pattern recognition
    • Fielding AH, editor. Machine learning methods for ecological applications. Boston: Kluwer
    • (1999) , pp. 37-87
    • Boddy, L.1    Morris, C.W.2
  • 45
    • 0028743046 scopus 로고
    • Approaches to applying neural networks to the identification of phytoplankton taxa from flow cytometry data
    • Dagli CH, Fernandez BR, Ghosh J, Kumara RTS, editors. Intelligent engineering systems through artificial neural networks. New York: ASME Press
    • (1994) , vol.4 , pp. 619-627
    • Morris, C.W.1    Boddy, L.2    Wilkins, M.F.3
  • 46
    • 0030308704 scopus 로고    scopus 로고
    • Classification as unknown by RBF networks: Discriminating phytoplankton taxa from flow cytometry data
    • Dagli CH, Akay M, Chen CLP, Fernandez BR, Ghosh J, editors. Intelligent engineering systems through artificial neural networks. New York: ASME Press
    • (1996) , vol.6 , pp. 629-634
    • Morris, C.W.1    Boddy, L.2
  • 47
    • 0032289288 scopus 로고    scopus 로고
    • Partitioned RBF networks for identification of biological taxa: Discrimination of phytoplankton from flow cytometry data
    • Dagli CH, Akay M, Buczak CLP, Ersoy AL, Fernandez, BR, editors. Intelligent engineering systems through artificial neural networks. New York: ASME Press
    • (1998) , vol.8 , pp. 637-642
    • Morris, C.W.1    Boddy, L.2
  • 54
    • 0028362299 scopus 로고
    • A comparison of radial basis function and backpropagation neural networks for identification of marine phytoplankton from multivariate flow cytometry data
    • (1994) CABIOS , vol.10 , pp. 285-294
    • Wilkins, M.F.1    Morris, C.W.2    Boddy, L.3
  • 59
    • 0003798642 scopus 로고    scopus 로고
    • Making large-scale learning practical
    • Schölkopf B, Burges C, Smola A, editors. Advances in kernel methods - support vector learning. Cambridge: Massachusetts Institute of Technology Press
    • (1999)
    • Joachims, T.1
  • 61
    • 0000225646 scopus 로고    scopus 로고
    • A comparison of strongly partitioned RBF networks and support vector machines for identification of biological taxa
    • Dagli CH, Buczak CLP, Ghosh J, Ersoy OAL, Emhrechts MJ, Kercel S, editors. Intelligent engineering systems through artificial neural networks. New York: ASME Press
    • (2000) , vol.10 , pp. 783-788
    • Morris, C.W.1    Autret, A.2    Boddy, L.3
  • 65
    • 0032292088 scopus 로고    scopus 로고
    • Effects of missing data on neural network identification of biological taxa: RBF network discrimination of phytoplankton from flow cytometry data
    • Dagli CH, Akay M, Buczak CLP, Ersoy AL, Fernandez BR, editors. Intelligent engineering systems through artificial neural networks. New York: ASME Press
    • (1998) , vol.8 , pp. 655-666
    • Boddy, L.1    Wilkins, M.F.2    Morris, C.W.3
  • 74
    • 0022262848 scopus 로고
    • Automated identification of subpopulations in flow cytometric list mode data using cluster analysis
    • (1985) Cytometry , vol.6 , pp. 302-309
    • Murphy, R.F.1
  • 83
    • 0002718246 scopus 로고
    • Artificial neural networks in identification and systematics of eukaryotic microorganisms
    • (1995) Binary , vol.7 , pp. 70-76
    • Morris, C.W.1    Boddy, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.