New markov-autocorrelation indices for re-evaluation of links in chemical and biological complex networks used in metabolomics, parasitology, neurosciences, and epidemiology

Journal of Chemical Information and Modeling

Volumn 52, Issue 12, 2012, Pages 3331-3340

  González Díaz, Humberto ^a   Riera Fernández, Pablo ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; COMPUTATIONAL CHEMISTRY; DISCRIMINANT ANALYSIS; ENCODING (SYMBOLS); MARKOV CHAINS; STOCHASTIC SYSTEMS; TOPOLOGY;

CHEMICAL AND BIOLOGICALS; LINEAR DISCRIMINANT ANALYSIS; METABOLIC NETWORK; MOLECULAR GRAPHS; NETWORK RECONSTRUCTION; OVERALL ACCURACIES; STRUCTURAL INFORMATION; TOPOLOGICAL INDEX;

COMPLEX NETWORKS;

ANIMAL; ARTICLE; BRAIN CORTEX; CATTLE; CATTLE DISEASE; EPIDEMIOLOGY; FASCIOLIASIS; HOST PARASITE INTERACTION; MACACA; METABOLISM; METABOLOMICS; METHODOLOGY; NEUROSCIENCE; PARASITOLOGY; PROBABILITY;

ANIMALS; CATTLE; CATTLE DISEASES; CEREBRAL CORTEX; EPIDEMIOLOGY; FASCIOLIASIS; HOST-PARASITE INTERACTIONS; MACACA; MARKOV CHAINS; METABOLIC NETWORKS AND PATHWAYS; METABOLOMICS; NEUROSCIENCES; PARASITOLOGY;

EID: 84871544429     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci300321f     Document Type: Article

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