Quantitative self-organizing maps for clustering electron tomograms

Journal of Structural Biology

Volumn 138, Issue 1-2, 2002, Pages 114-122

  Pascual Montano, A ^a   Taylor, K A ^b   Winkler, H ^b   Pascual Marqui, R D ^c   Carazo, J M ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b FLORIDA STATE UNIVERSITY   (United States)

^c UNIVERSITY HOSPITAL OF PSYCHIATRY   (Switzerland)

Author keywords

Actin; Classification; Electron tomography; Image processing; Kernel functions; Muscle proteins; Myosin; Neural networks; Probability density function; Self organizing maps

Indexed keywords

ALGORITHM; CONFERENCE PAPER; ELECTRON MICROSCOPY; FEASIBILITY STUDY; MATHEMATICAL ANALYSIS; NERVE CELL NETWORK; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; STRUCTURE ANALYSIS; THREE DIMENSIONAL IMAGING; TOMOGRAPHY; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; IMAGE PROCESSING; INSECT; METHODOLOGY; SKELETAL MUSCLE; ULTRASTRUCTURE;

INSECTA;

MUSCLE PROTEIN;

ALGORITHMS; ANIMALS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INSECTS; MICROSCOPY, ELECTRON; MUSCLE PROTEINS; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0036421483     PISSN: 10478477     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1047-8477(02)00008-4     Document Type: Conference Paper

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