Application of neural computing methods for interpreting phospholipid fatty acid profiles of natural microbial communities

Applied and Environmental Microbiology

Volumn 66, Issue 2, 2000, Pages 694-699

  Noble, Peter A ^a   Almeida, Jonas S ^b   Lovell, Charles R ^c  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^c UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FATTY ACID;

ARTIFICIAL NEURAL NETWORK; FATTY ACID; MICROBIAL COMMUNITY;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CLASSIFICATION; DISCRIMINANT ANALYSIS; HELMINTH; LIPID ANALYSIS; MARINE ENVIRONMENT; MICROBIOLOGY; NONHUMAN; SEDIMENT; UNITED STATES; VALIDATION PROCESS;

ANIMALS; BACTERIA; CHORDATA, NONVERTEBRATE; COMPUTER SIMULATION; ECOSYSTEM; FATTY ACIDS; GEOLOGIC SEDIMENTS; NEURAL NETWORKS (COMPUTER); PHOSPHOLIPIDS; POLYCHAETA; SEAWATER; SENSITIVITY AND SPECIFICITY; WATER MICROBIOLOGY;

BALANOGLOSSUS AURANTIACUS; HEMICHORDATA; MICROBIOTA; NOTOMASTUS LOBATUS; POLYCHAETA; VERMES;

EID: 0033960447     PISSN: 00992240     EISSN: None     Source Type: Journal    
DOI: 10.1128/AEM.66.2.694-699.2000     Document Type: Article

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