Statistical methods for comparative phenomics using high-throughput Phenotype Microarrays

International Journal of Biostatistics

Volumn 6, Issue 1, 2010, Pages

  Sturino, Joseph ^a   Zorych, Ivan ^a   Mallick, Bani ^a   Pokusaeva, Karina ^a   Chang, Ying Ying ^a   Carroll, Raymond J ^a   Bliznuyk, Nikolay ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Biolog; functional data analysis; high throughput phenotyping; permutation tests; phenomics; phenotype microarrays; principal components

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; DATA ANALYSIS; HUMAN; MICROARRAY ANALYSIS; NONHUMAN; PHENOTYPE; SIMULATION; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; COMPARATIVE STUDY; DNA MICROARRAY; FEMALE; MALE; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; STATISTICS;

DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; MALE; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE; PRINCIPAL COMPONENT ANALYSIS;

EID: 77956318833     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1227     Document Type: Article

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