Detection of quantitative trait associated genes using cluster analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4973 LNCS, Issue , 2008, Pages 83-94

  Jia, Zhenyu ^a   Tang, Sha ^b   Mercola, Dan ^a   Xu, Shizhong ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Gibbs sampler; Microarray

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; BIOCOMMUNICATIONS; BIOINFORMATICS; CLUSTER ANALYSIS; DATA MINING; DECISION SUPPORT SYSTEMS; FOURIER ANALYSIS; GENE EXPRESSION; GENES; INFORMATION MANAGEMENT; INFORMATION SCIENCE; KNOWLEDGE MANAGEMENT; MARKOV PROCESSES; MINING; NORMAL DISTRIBUTION; POLYNOMIALS; PUBLIC KEY CRYPTOGRAPHY; RANDOM VARIABLES; ROBOT LEARNING; SEARCH ENGINES;

EUROPEAN; EVOLUTIONARY COMPUTATION (EC); EXPRESSED GENES; HEIDELBERG (CO); MACHINE-LEARNING; MARKOV CHAIN MONTE CARLO (MCMC); MIXTURE MODEL (MM); ORTHOGONAL POLYNOMIALS; STATISTICAL INFERENCES; STRENGTH (IGC: D5/D6);

LEARNING SYSTEMS;

EID: 47249139577     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78757-0_8     Document Type: Conference Paper

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