Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis

Bioinformatics

Volumn 32, Issue 1, 2016, Pages 67-76

  Gao, Qiaozi ^a   Ostendorf, Elisabeth ^b   Cruz, Jeffrey A ^b   Jin, Rong ^a   Kramer, David M ^b,c   Chen, Jin ^a,b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARABIDOPSIS; CHLOROPLAST; CLUSTER ANALYSIS; GENETICS; GENOTYPE; MUTATION; NONPARAMETRIC TEST; PHENOTYPE; PHOTOSYNTHESIS; PHYSIOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; ARABIDOPSIS; CHLOROPLASTS; CLUSTER ANALYSIS; GENOTYPE; LIKELIHOOD FUNCTIONS; MUTATION; PHENOTYPE; PHOTOSYNTHESIS; REPRODUCIBILITY OF RESULTS; STATISTICS AS TOPIC; STATISTICS, NONPARAMETRIC;

EID: 84959927017     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv515     Document Type: Article

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