Missing value imputation in DNA microarrays based on conjugate gradient method

Computers in Biology and Medicine

Volumn 42, Issue 2, 2012, Pages 222-227

  Dorri, Fatemeh ^a   Azmi, Paeiz ^b   Dorri, Faezeh ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b TARBIAT MODARES UNIVERSITY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Conjugate gradient method; DNA microarray; Imputation; Missing values

Indexed keywords

ABSOLUTE VALUES; BAYESIAN PRINCIPLE; CONJUGATE GRADIENT; DATA SETS; DNA MICROARRAY; GENE ARRAYS; GENE EXPRESSION PROFILES; IMPUTATION; IMPUTATION METHODS; K-NEAREST NEIGHBORS; LOCAL LEAST SQUARES; MATRIX; MISSING RATE; MISSING VALUE IMPUTATION; MISSING VALUES; PEARSON CORRELATION COEFFICIENTS; ROOT MEAN SQUARE;

ALGORITHMS; AUTOCORRELATION; BIOASSAY; BIOCHIPS; GENE EXPRESSION; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

CONJUGATE GRADIENT METHOD;

ALGORITHM; ARTICLE; BAYES THEOREM; CONJUGATE; CORRELATION COEFFICIENT; DNA MICROARRAY; HUMAN; HUMAN CELL; PRIORITY JOURNAL; REGRESSION ANALYSIS;

ALGORITHMS; CELL LINE, TUMOR; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; HUMANS; LEAST-SQUARES ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SACCHAROMYCES CEREVISIAE;

EID: 84855977818     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.11.011     Document Type: Article

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