Inferring broad regulatory biology from time course data: Have we reached an upper bound under constraints typical of in vivo studies?

PLoS ONE

Volumn 10, Issue 5, 2015, Pages

  Vashishtha, Saurabh ^a   Broderick, Gordon ^a,b,c   Craddock, Travis J A ^b,c   Fletcher, Mary Ann ^b,d   Klimas, Nancy G ^b,d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b affiliation with Nova Southeastern College of Osteopathic Medicine   (United States)

^c NOVA SOUTHEASTERN UNIVERSITY   (United States)

^d VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL PARAMETERS; ARTICLE; CELL CULTURE; COMPUTER MODEL; COMPUTER NETWORK; DATA MINING; FUZZY LOGIC; HUMAN; IN VIVO STUDY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MEDICAL TECHNOLOGIST; NONHUMAN; ORDINARY DIFFERENTIAL EQUATION MODEL; PERSONALIZED MEDICINE; PRINCIPAL COMPONENT ANALYSIS; PROCESS OPTIMIZATION; QUALITY CONTROL; SIMULATION; SYSTEM ANALYSIS; TIME; TIME SERIES NETWORK IDENTIFICATION; YEAST; ALGORITHM; CELL CYCLE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; HELA CELL LINE; SACCHAROMYCES CEREVISIAE; SAMPLE SIZE; TIME FACTOR;

ALGORITHMS; CELL CYCLE; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HELA CELLS; HUMANS; SACCHAROMYCES CEREVISIAE; SAMPLE SIZE; TIME FACTORS;

EID: 84930641486     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0127364     Document Type: Article

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