Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data

Computational Statistics and Data Analysis

Volumn 53, Issue 5, 2009, Pages 1906-1922

  Lama, Nicola ^a,b   Boracchi, Patrizia ^a   Biganzoli, Elia ^a,c  

^a UNIVERSITY OF MILAN   (Italy)

^b SECOND UNIVERSITY OF NAPLES   (Italy)

^c NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; GENE EXPRESSION; LAPLACE TRANSFORMS; MAXIMUM LIKELIHOOD ESTIMATION; SPLINES;

ASYMMETRIC LAPLACE DISTRIBUTIONS; B SPLINES; BAYESIAN INFORMATION CRITERION; DATA SETS; DISTRIBUTIONAL MODELS; ERROR MODELS; EXPERIMENTAL MEASUREMENTS; GAUSSIAN; GENE EXPRESSION DATUM; GOODNESS-OF-FIT STATISTICS; INTENSITY DEPENDENTS; LAPLACIAN; MODEL SELECTIONS; MONTE CARLO; NORMALIZATION METHODS; RESCALING; ROBUST METHODS; SCALING FACTORS; SMOOTHING TECHNIQUES;

NORMAL DISTRIBUTION;

EID: 60649109791     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.11.026     Document Type: Article

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