Genomic outlier detection in high-throughput data analysis

Methods in Molecular Biology

Volumn 972, Issue , 2013, Pages 141-153

  Ghosh, Debashis ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Cancer; CDNA microarrays; Differential expression; Multiple comparisons; Rank based statistic

Indexed keywords

ARTICLE; GENE EXPRESSION; GENE IDENTIFICATION; GENOMICS; HIGH THROUGHPUT SEQUENCING; ONCOGENE; PRIORITY JOURNAL; PROSTATE CANCER; SIMULATION; STATISTICAL MODEL; ALGORITHM; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; GENETICS; HUMAN; METABOLISM; METHODOLOGY; MULTIVARIATE ANALYSIS; NEOPLASM; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION STUDIES; GENOMICS; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEOPLASMS; NORMAL DISTRIBUTION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; ONCOGENES; ROC CURVE; STATISTICS, NONPARAMETRIC;

MLCS; MLOWN;

EID: 84880151926     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-60327-337-4_9     Document Type: Article

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