A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Zhang, Wenlu ^a   Feng, Daming ^a   Li, Rongjian ^a   Chernikov, Andrey ^a   Chrisochoides, Nikos ^a   Osgood, Christopher ^b   Konikoff, Charlotte ^c   Newfeld, Stuart ^d   Kumar, Sudhir ^c,d,e   Ji, Shuiwang ^a  

^a Old Dominion University   (United States)

^b OLD DOMINION UNIVERSITY   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

^e KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL TOOLS; DROSOPHILA MELANOGASTER; EXPRESSION PATTERNS; GENE EXPRESSION PATTERNS; LEARNING FRAMEWORKS; MACHINE LEARNING METHODS; MULTICELLULAR ORGANISMS; OPEN SOURCE SOFTWARE;

BIOLOGY; COMPUTATIONAL METHODS; COMPUTER SOFTWARE; LEARNING SYSTEMS; MESH GENERATION; TOOLS;

GENE EXPRESSION;

DROSOPHILA MELANOGASTER;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLUSTER ANALYSIS; COMPUTER PROGRAM; DROSOPHILA; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; IMAGE PROCESSING; METHODOLOGY; PRENATAL DEVELOPMENT; STANDARD; STATISTICS; SUPPORT VECTOR MACHINE;

ANIMALS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DROSOPHILA; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; IMAGE PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84891013356     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-372     Document Type: Article

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