Untangling statistical and biological models to understand network inference: The need for a genomics network ontology

Frontiers in Genetics

Volumn 5, Issue AUG, 2014, Pages

  Emmert Streib, Frank ^a   Dehmer, Matthias ^b   Haibe Kains, Benjamin ^c  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^c PRINCESS MARGARET HOSPITAL   (Canada)

Author keywords

Computational genomics; Epistemology; Gene regulatory networks; Genomics network ontology; Mathematical modeling; Statistical inference; Systems biology

Indexed keywords

DNA; MESSENGER RNA; TRANSCRIPTION FACTOR;

ALGORITHM; ARTICLE; BIOCHEMISTRY; BIOINFORMATICS; BIOLOGICAL MODEL; BIOSTATISTICS; COMPARATIVE STUDY; DATA BASE; EPISTEMOLOGY; GENE INTERACTION; GENE REGULATORY NETWORK; GENOMICS; HIGH THROUGHPUT SCREENING; ONTOLOGY; PROTEIN BINDING; PROTEIN INTERACTION; STATISTICAL MODEL; SYSTEMS BIOLOGY; THEORETICAL MODEL; TRANSCRIPTION REGULATION;

EID: 84906234734     PISSN: None     EISSN: 16648021     Source Type: Journal    
DOI: 10.3389/fgene.2014.00299     Document Type: Article

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