Statistical inference methods for sparse biological time series data

BMC Systems Biology

Volumn 5, Issue , 2011, Pages

  Ndukum, Juliet ^a   Fonseca, Luís L ^b,c   Santos, Helena ^b   Voit, Eberhard O ^c   Datta, Susmita ^a  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b INSTITUTO DE TECNOLOGIA QUÍMICA E BIOLÓGICA   (Portugal)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SACCHAROMYCES CEREVISIAE;

CARBON; GLUCOSE;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REGRESSION ANALYSIS; SACCHAROMYCES CEREVISIAE; STATISTICAL MODEL; SYSTEMS BIOLOGY; THEORETICAL MODEL; TIME;

ALGORITHMS; CARBON ISOTOPES; COMPUTATIONAL BIOLOGY; GENE EXPRESSION REGULATION, FUNGAL; GLUCOSE; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MODELS, THEORETICAL; REGRESSION ANALYSIS; SACCHAROMYCES CEREVISIAE; SYSTEMS BIOLOGY; TIME FACTORS;

EID: 79954987899     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-5-57     Document Type: Article

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