A stochastic downhill search algorithm for estimating the local false discovery rate

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 1, Issue 3, 2004, Pages 98-108

  Scheid, Stefanie ^a   Spang, Rainer ^a  

^a MAX PLANCK INSTITUTE FOR MOLECULAR GENETICS   (Germany)

Author keywords

Biology and genetics; Local false discovery rates; Microarray analysis; Stochastic search algorithms

Indexed keywords

BIOLOGY; DATA REDUCTION; GENES; MATRIX ALGEBRA; PROBABILITY; RANDOM PROCESSES; STATISTICAL METHODS;

BIOLOGY AND GENETICS; LOCAL FALSE DISCOVERY RATES; MICROARRAY ANALYSIS; STOCHASTIC SEARCH ALGORITHMS;

ALGORITHMS;

BCR ABL PROTEIN; E2A PBX1 FUSION PROTEIN; E2A-PBX1 FUSION PROTEIN; HOMEODOMAIN PROTEIN; ONCOPROTEIN;

ACUTE LYMPHOCYTIC LEUKEMIA; ALGORITHM; ARTICLE; BIOLOGY; COMPARATIVE STUDY; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; HUMAN; INTERNET; METHODOLOGY; PROBABILITY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FUSION PROTEINS, BCR-ABL; GENE EXPRESSION PROFILING; HOMEODOMAIN PROTEINS; HUMANS; INTERNET; LEUKEMIA, LYMPHOCYTIC, ACUTE; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; ONCOGENE PROTEINS, FUSION; PROBABILITY; SOFTWARE; STOCHASTIC PROCESSES;

EID: 14744272250     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2004.24     Document Type: Review

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