Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints

Biometrics

Volumn 58, Issue 2, 2002, Pages 378-386

  Wilbur, J D ^a,b   Ghosh, J K ^a,c   Nakatsu, C H ^b   Brouder, S M ^b   Doerge, R W ^a,b  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

^c INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Classification; DNA fingerprints; High dimensional data; Microbial communities; Multivariate binary data; Permutation tests; Variable selection

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DNA; ELECTROPHORESIS; MICROORGANISMS; SOILS;

BINARY DATA; COMMUNITY IS; DNA FINGERPRINTS; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; MICROBIAL COMMUNITIES; MULTIVARIATE BINARY DATA; PERMUTATION TESTS; VARIABLES SELECTIONS;

POLYMERASE CHAIN REACTION;

DNA 16S;

DNA FINGERPRINTING; MICROBIAL COMMUNITY; MULTIVARIATE ANALYSIS;

ARTICLE; DENATURING GRADIENT GEL ELECTROPHORESIS; DNA FINGERPRINTING; MATHEMATICAL ANALYSIS; MICROFLORA; NONHUMAN; POLYMERASE CHAIN REACTION; RHIZOSPHERE; SIMULATION; SOIL; AGRICULTURE; BIOMETRY; ECOSYSTEM; GROWTH, DEVELOPMENT AND AGING; MICROBIAL GENETICS; MICROBIOLOGY; MULTIVARIATE ANALYSIS; PLANT; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

AGRICULTURE; BIOMETRY; DATA INTERPRETATION, STATISTICAL; DNA FINGERPRINTING; ECOSYSTEM; GENETICS, MICROBIAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PLANTS, EDIBLE; SOIL MICROBIOLOGY;

EID: 0035989814     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00378.x     Document Type: Article

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