Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 15, Issue 1, 2018, Pages 168-180

  Leale, Guillermo ^a   Baya, Ariel Emilio ^a   Milone, DIego H ^a   Granitto, Pablo M ^a   Stegmayer, Georgina ^a  

^a Systems and Computational Intelligence ^*  (Argentina)

Author keywords

bioinformatics; Clustering; gene ontology; machine learning

Indexed keywords

BIOINFORMATICS; BIOLOGICAL SYSTEMS; COMPUTATIONAL METHODS; GENES; LEARNING SYSTEMS; SEMANTICS;

BIOLOGICAL FUNCTIONS; CLUSTERING; CLUSTERING TECHNIQUES; COMPUTATIONAL APPROACH; GENE EXPRESSION DATA; GENE ONTOLOGY; GUILT BY ASSOCIATIONS; SEMANTIC INFORMATION;

GENE EXPRESSION;

TRANSCRIPTOME;

ARABIDOPSIS; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; GENE; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENETIC DATABASE; GENETICS; MACHINE LEARNING; METABOLISM; MOLECULAR GENETICS; PHYSIOLOGY; PROCEDURES; SACCHAROMYCES CEREVISIAE;

ARABIDOPSIS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENES; MACHINE LEARNING; MODELS, GENETIC; MOLECULAR SEQUENCE ANNOTATION; SACCHAROMYCES CEREVISIAE; TRANSCRIPTOME;

EID: 85041901722     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2016.2615960     Document Type: Article

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