Synthetic approaches to study transcriptional networks and noise in mammalian systems

IET Systems Biology

Volumn 7, Issue 1, 2013, Pages 11-17

  Gregorio Godoy, Paula ^a   Míguez, David G ^a  

^a INSTITUTO NICOLÁS CABRERA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL PHENOMENA; ENGINEERING PRINCIPLES; MAMMALIAN SYSTEMS; REGULATORY CIRCUITS; SYNTHETIC APPROACH; SYNTHETIC GENE NETWORK; TECHNICAL APPLICATIONS; TRANSCRIPTIONAL NETWORKS;

BIOLOGY; COMPLEX NETWORKS; MAMMALS; MEDICAL APPLICATIONS;

TRANSCRIPTION;

ANIMAL; ARTICLE; ARTIFICIAL CELL; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; HUMAN; METABOLISM; PHYSIOLOGY; SIGNAL NOISE RATIO; STATISTICAL MODEL; STATISTICS; TRANSCRIPTION INITIATION;

ANIMALS; ARTIFICIAL CELLS; COMPUTER SIMULATION; GENE REGULATORY NETWORKS; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SIGNAL-TO-NOISE RATIO; STOCHASTIC PROCESSES; TRANSCRIPTION, GENETIC; TRANSCRIPTIONAL ACTIVATION;

MLCS; MLOWN;

EID: 84880930920     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb.2012.0026     Document Type: Article

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