Background correction using dinucleotide affinities improves the performance of GCRMA

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Gharaibeh, Raad Z ^a   Fodor, Anthony A ^a   Gibas, Cynthia J ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND CORRECTION; BINDING AFFINITIES; DIFFERENTIALLY EXPRESSED GENE; NEAREST-NEIGHBORS; OLIGONUCLEOTIDE MICROARRAY; PRE-PROCESSING ALGORITHMS; SINGLE NUCLEOTIDES; STACKING INTERACTION;

BINDING ENERGY; GENE EXPRESSION; MODELS; OLIGONUCLEOTIDES;

ALGORITHMS;

ALGORITHM; ARTICLE; BASE PAIRING; BINDING AFFINITY; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; INFORMATION PROCESSING; MICROARRAY ANALYSIS; NUCLEIC ACID PROBE; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; ANIMAL; ARTIFACT; BIOLOGY; CHEMISTRY; CLUSTER ANALYSIS; ENERGY TRANSFER; GENE EXPRESSION PROFILING; HUMAN; METHODOLOGY; OLIGONUCLEOTIDE PROBE; REPRODUCIBILITY;

ANIMALS; ARTIFACTS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; ENERGY TRANSFER; GENE EXPRESSION PROFILING; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; OLIGONUCLEOTIDE PROBES; REPRODUCIBILITY OF RESULTS;

EID: 55449117934     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-452     Document Type: Article

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