A simulation study on the impact of strong dependence in high-dimensional multiple-testing I: The case without effects

Advances in Intelligent and Soft Computing

Volumn 93, Issue , 2011, Pages 241-246

  Carvajal Rodríguez, Antonio ^a   De Uña Álvarez, Jacobo ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

false discovery rate; FDR; microarrays; Multiple testing; SGoF

Indexed keywords

BIOLOGICAL DATA; BREAST CANCER; CORRECTION METHOD; DATA SETS; FALSE DISCOVERY RATE; FALSE POSITIVE; FDR; GENE EFFECTS; GOODNESS OF FIT; HIGH THROUGHPUT EXPERIMENTS; HIGH-DIMENSIONAL; INTER-DEPENDENCIES; MULTIPLE HYPOTHESIS TESTING; MULTIPLE TESTING; SGOF; SIMULATION STUDIES;

BIOINFORMATICS; CLUTTER (INFORMATION THEORY); GENES; MICROARRAYS; THROUGHPUT;

STATISTICAL TESTS;

EID: 80052942631     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19914-1_32     Document Type: Conference Paper

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