ARSyN: A method for the identification and removal of systematic noise in multifactorial time course microarray experiments

Biostatistics

Volumn 13, Issue 3, 2012, Pages 553-566

  Nueda, Maria J ^a   Ferrer, Alberto ^b   Conesa, Ana ^c  

^a UNIVERSITY OF ALICANTE   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^c CENTRO DE INVESTIGACIÓN PRÍNCIPE FELIPE   (Spain)

Author keywords

Analysis of variance; Batch effect; Microarrays; Principal components analysis; Systematic noise

Indexed keywords

BROMOBENZENE;

ANIMAL; ARTICLE; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; LIVER; METABOLISM; METHODOLOGY; PHYSIOLOGICAL STRESS; PHYSIOLOGY; POTATO; PRINCIPAL COMPONENT ANALYSIS; RAT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANIMALS; BROMOBENZENES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; LIVER; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; RATS; SOLANUM TUBEROSUM; STRESS, PHYSIOLOGICAL;

EID: 84863569198     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxr042     Document Type: Article

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