Post hoc pattern matching: Assigning significance to statistically defined expression patterns in single channel microarray data

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Hulshizer, Randall ^a   Blalock, Eric M ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPRESSION MICROARRAY; GENE EXPRESSION PATTERNS; MICROARRAY EXPERIMENTS; NON-OVERLAPPING PATTERNS; PAIR-WISE COMPARISON; STATISTICAL PROBABILITY; THEORETICAL EXPRESSION; VISUAL BASIC PROGRAMS;

ANALYSIS OF VARIANCE (ANOVA); MICROARRAYS; MONTE CARLO METHODS; PATTERN MATCHING; RESEARCH; VISUAL BASIC;

GENE EXPRESSION;

ANALYSIS OF VARIANCE; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOINFORMATICS; COMPUTER PROGRAM; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ALGORITHM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MONTE CARLO METHOD; NUCLEOTIDE SEQUENCE; POST HOC ANALYSIS; PROBABILITY; STATISTICAL SIGNIFICANCE; ALGORITHM; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER SIMULATION; DECISION TREE; GENE EXPRESSION PROFILING; METHODOLOGY; STATISTICS;

ALGORITHMS; ANALYSIS OF VARIANCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DECISION TREES; GENE EXPRESSION; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; MONTE CARLO METHOD; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PROBABILITY; SOFTWARE;

EID: 34547650892     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-240     Document Type: Article

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