Machine learning techniques for single nucleotide polymorphism - disease classification models in schizophrenia

Molecules

Volumn 15, Issue 7, 2010, Pages 4875-4889

  Aguiar Pulido, Vanessa ^a   Seoane, José A ^a   Rabuñal, Juan R ^a   Dorado, Julián ^a   Pazos, Alejandro ^a   Munteanu, Cristian R ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Artificial neural networks; DNA molecule; Evolutionary computation; Schizophrenia; SNP

Indexed keywords

DOPAMINE 3 RECEPTOR; DRD3 PROTEIN, HUMAN; SEROTONIN 3 RECEPTOR;

ARTICLE; ARTIFICIAL INTELLIGENCE; GENETIC PREDISPOSITION; GENETICS; HUMAN; METHODOLOGY; NUCLEOTIDE SEQUENCE; SCHIZOPHRENIA; SINGLE NUCLEOTIDE POLYMORPHISM; SPAIN;

ARTIFICIAL INTELLIGENCE; BASE SEQUENCE; GENETIC PREDISPOSITION TO DISEASE; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; RECEPTORS, DOPAMINE D3; RECEPTORS, SEROTONIN, 5-HT3; RESEARCH DESIGN; SCHIZOPHRENIA; SPAIN;

EID: 77954965437     PISSN: None     EISSN: 14203049     Source Type: Journal    
DOI: 10.3390/molecules15074875     Document Type: Article

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