Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Yin, Zheng ^a,c   Zhou, Xiaobo ^a   Bakal, Chris ^b   Li, Fuhai ^a   Sun, Youxian ^c   Perrimon, Norbert ^b   Wong, Stephen T C ^a  

^a HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

^b HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^c STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUING DEVELOPMENT; DESIGN AND IMPLEMENTATIONS; EXPERIMENTAL CONDITIONS; GAUSSIAN MIXTURE MODEL; HIGH-THROUGHPUT SCREENS; IMAGE-BASED SCREENINGS; ONLINE PHENOTYPE DISCOVERY; QUALITATIVE ANALYSIS;

AUTOMATION; CYTOLOGY; ISOMERS; MERGING;

ITERATIVE METHODS;

ACCURACY; ANIMAL CELL; ARTICLE; BIOINFORMATICS; CELL CYCLE PHASE; CELL SHAPE; CONTROLLED STUDY; DROSOPHILA; EMBRYO; GENETIC SCREENING; HELA CELL; HUMAN; HUMAN CELL; IMAGE PROCESSING; INFORMATION PROCESSING; INSECT CELL CULTURE; INSECT GENETICS; INTERMETHOD COMPARISON; MOLECULAR IMAGING; NONHUMAN; NORMAL DISTRIBUTION; ONLINE SYSTEM; PHENOTYPE; PROCESS DESIGN; RNA INTERFERENCE; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; ANIMAL; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER SIMULATION; CYTOLOGY; INTERNET; METABOLISM;

SMALL INTERFERING RNA;

ANIMALS; CLUSTER ANALYSIS; COMPUTER SIMULATION; CYTOLOGICAL TECHNIQUES; DROSOPHILA; HELA CELLS; HUMANS; INTERNET; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; RNA INTERFERENCE; RNA, SMALL INTERFERING;

EID: 47149116088     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-264     Document Type: Article

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