Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome

PLoS Computational Biology

Volumn 7, Issue 5, 2011, Pages

  Sohn, Yunkyu ^a,b   Choi, Myung Kyu ^c   Ahn, Yong Yeol ^d,e   Lee, Junho ^c   Jeong, Jaeseung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b University of California San Diego   (United States)

^c Seoul National University   (South Korea)

^d NORTHEASTERN UNIVERSITY   (United States)

^e HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; TOPOLOGY;

BILATERAL SYMMETRY; CAENORHABDITIS ELEGANS; CLUSTER ASSIGNMENT; COMMUNITY DETECTION; CONNECTOMES; DETECTION METHODS; MODULAR ORGANIZATIONS; TOPOLOGICAL PROPERTIES; WEIGHTED NETWORKS; WIRING DIAGRAM;

CLUSTER ANALYSIS;

ARTICLE; CAENORHABDITIS ELEGANS; CLUSTER ANALYSIS; COMMUNITY STRUCTURE; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MATHEMATICAL ANALYSIS; MOTONEURON; NERVE CELL NETWORK; NERVOUS SYSTEM; NONHUMAN; PROCESS OPTIMIZATION; SENSORY NERVE CELL; SYNAPSE; SYNAPTIC TRANSMISSION; ANIMAL; BIOLOGICAL MODEL; HISTOLOGY; NERVE CELL; PHYSIOLOGY;

CAENORHABDITIS ELEGANS;

ANIMALS; CAENORHABDITIS ELEGANS; CLUSTER ANALYSIS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; SYNAPSES;

EID: 79958169113     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001139     Document Type: Article

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