Surprisal Analysis of Transcripts Expression Levels in the Presence of Noise: A Reliable Determination of the Onset of a Tumor Phenotype

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Gross, Ayelet ^a   Levine, Raphael D ^a,b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APOPTOSIS; ARTICLE; CONTROLLED STUDY; ERROR; HUMAN; MATHEMATICAL ANALYSIS; PHENOTYPE; PRECANCER; RELIABILITY; SINGULAR VALUE DECOMPOSITION; SURPRISAL ANALYSIS; THEORY; ALGORITHM; CARCINOGENESIS; EARLY DIAGNOSIS; GENE EXPRESSION PROFILING; GENETIC HETEROGENEITY; GENETIC MARKER; GENETICS; METABOLISM; MULTIGENE FAMILY; NEOPLASMS; PREDICTIVE VALUE; SIGNAL NOISE RATIO; STATISTICAL MODEL; TIME; TUMOR GENE;

GENETIC MARKER; MESSENGER RNA;

ALGORITHMS; APOPTOSIS; CARCINOGENESIS; EARLY DIAGNOSIS; GENE EXPRESSION PROFILING; GENES, NEOPLASM; GENETIC HETEROGENEITY; GENETIC MARKERS; HUMANS; MODELS, STATISTICAL; MULTIGENE FAMILY; NEOPLASMS; PHENOTYPE; PREDICTIVE VALUE OF TESTS; RNA, MESSENGER; SIGNAL-TO-NOISE RATIO; TIME FACTORS;

EID: 84876568233     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0061554     Document Type: Article

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