Reconstruction of metabolic networks from high-throughput metabolite profiling data: In silico analysis of red blood cell metabolism

Annals of the New York Academy of Sciences

Volumn 1115, Issue , 2007, Pages 102-115

  Nemenman, Ilya ^a,b,e   Escola, G Sean ^a,c   Hlavacek, William S ^b,d   Unkefer, Pat J ^e   Unkefer, Clifford J ^e   Wall, Michael E ^a,b,e  

^a Transport Methods Section   (United States)

^b CENTER FOR NONLINEAR STUDIES   (United States)

^c New York Presbyterian Morgan Stanley Children's Hospital   (United States)

^d LOS ALAMOS NATIONAL LABORATORY   (United States)

^e LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Metabolism; Network reverse engineering; Red blood cells; Synthetic data

Indexed keywords

ALGORITHM; CELL METABOLISM; CONFERENCE PAPER; CORRELATION ANALYSIS; DATA ANALYSIS; DYNAMICS; ENGINEERING; ERYTHROCYTE; GENE EXPRESSION PROFILING; GENE INTERACTION; GENETIC TRANSCRIPTION; HUMAN; INFORMATION PROCESSING; METABOLISM; METABOLITE; NOISE; PERFORMANCE; QUALITY CONTROL; STATISTICAL ANALYSIS;

EID: 36248940715     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1196/annals.1407.013     Document Type: Conference Paper

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