Impact of noise on molecular network inference

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Nagarajan, Radhakrishnan ^a   Scutari, Marco ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; HUMAN; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NOISE; NOISE VARIANCE; PROBABILITY; PROCESS DESIGN; RELIABILITY; SIGNAL TRANSDUCTION; SINGLE CELL ANALYSIS; VARIANCE; ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; PROCEDURES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS;

EID: 84891928169     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0080735     Document Type: Article

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