Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: Insights from an identifiability analysis of an in silico network

Genome Research

Volumn 13, Issue 11, 2003, Pages 2396-2405

  Zak, Daniel E ^a,b   Gonye, Gregory E ^b   Schwaber, James S ^b   Doyle III, Francis J ^c  

^a University of Delaware   (United States)

^b THOMAS JEFFERSON UNIVERSITY   (United States)

^c University of California at Santa Barbara   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; TRANSCRIPTION FACTOR;

ACCURACY; CELL FUNCTION; COMPUTER MODEL; DEGRADATION KINETICS; GENE CONSTRUCT; GENE CONTROL; GENE EXPRESSION PROFILING; GENE STRUCTURE; GENETIC ENGINEERING; INFORMATION PROCESSING; PRIORITY JOURNAL; REVIEW; RNA DEGRADATION; STOCHASTIC MODEL;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENETIC ENGINEERING; MODELS, GENETIC; STOCHASTIC PROCESSES;

EUKARYOTA;

EID: 0242490789     PISSN: 10889051     EISSN: None     Source Type: Journal    
DOI: 10.1101/gr.1198103     Document Type: Review

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