Deep convolutional neural networks for annotating gene expression patterns in the mouse brain

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Zeng, Tao ^a   Li, Rongjian ^a   Mukkamala, Ravi ^a   Ye, Jieping ^b,c   Ji, Shuiwang ^a  

^a Old Dominion University   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; CURRICULA; DISCRETE COSINE TRANSFORMS; GENES; MAMMALS; NEURAL NETWORKS;

COMPUTATIONAL APPROACH; CONVOLUTIONAL MODEL; CONVOLUTIONAL NEURAL NETWORK; FEATURE EXTRACTOR; GENE EXPRESSION PATTERNS; IN-SITU HYBRIDIZATION; SPATIAL AND TEMPORAL SCALE; STRUCTURAL LEVELS;

GENE EXPRESSION;

ANIMAL; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BRAIN; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; IN SITU HYBRIDIZATION; METABOLISM; MOLECULAR GENETICS; MOUSE; PROCEDURES;

ANIMALS; BRAIN; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; IMAGE PROCESSING, COMPUTER-ASSISTED; IN SITU HYBRIDIZATION; MICE; MOLECULAR SEQUENCE ANNOTATION; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 84930203768     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0553-9     Document Type: Article

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