Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2013, Pages

  Araujo, Flavia R B ^a   Bassani, Hansenclever F ^a   Araujo, Aluizio F R ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

GENERALIZED RELEVANCE LEARNING VECTOR QUANTIZATIONS; GENETIC INFORMATION; GENOME-WIDE ASSOCIATION STUDIES; GRACEFUL DEGRADATION; LEARNING VECTOR QUANTIZATION; MULTIFACTOR DIMENSIONALITY REDUCTIONS; PROTOTYPE-BASED CLASSIFICATIONS; SINGLE NUCLEOTIDE POLYMORPHISMS;

GENES; NEURAL NETWORKS;

VECTOR QUANTIZATION;

EID: 84893588453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2013.6707040     Document Type: Conference Paper

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