Empirically determining the sample size for large-scale gene network inference algorithms

IET Systems Biology

Volumn 6, Issue 2, 2012, Pages 35-43

  Altay, G ^a,b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b BAHCESEHIR UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RESULTS; DATA SETS; E. COLI; GENE NETWORK INFERENCE; GENE NETWORKS; GENE REGULATORY NETWORKS; HOMO SAPIENS; OPTIMAL PERFORMANCE; SAMPLE SIZES; STEADY STATE DATA; SUBNETWORKS; TIME-SERIES DATA;

ALGORITHMS; ESCHERICHIA COLI; GENES; INFORMATION THEORY; SAMPLING;

INFERENCE ENGINES;

ALGORITHM; ARTICLE; BACTERIAL GENOME; ESCHERICHIA COLI; GENE REGULATORY NETWORK; GENETICS; METHODOLOGY; SAMPLE SIZE; STATISTICAL MODEL; SYSTEMS BIOLOGY; TIME;

ALGORITHMS; ESCHERICHIA COLI; GENE REGULATORY NETWORKS; GENOME, BACTERIAL; MODELS, STATISTICAL; SAMPLE SIZE; SYSTEMS BIOLOGY; TIME FACTORS;

ESCHERICHIA COLI; HOMO SAPIENS;

EID: 84859863444     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb.2010.0091     Document Type: Article

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