Multimodal data fusion based on IGERNNC algorithm for detecting pathogenic brain regions and genes in Alzheimer's disease.

Wang, Shuaiqun; Zheng, Kai; Kong, Wei; Huang, Ruiwen; Liu, Lulu; Wen, Gen; Yu, Yaling

Wang, Shuaiqun; Zheng, Kai; Kong, Wei; Huang, Ruiwen; Liu, Lulu; Wen, Gen; Yu, Yaling.

Afiliação

Wang S; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Zheng K; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Kong W; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Huang R; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Liu L; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Wen G; School of Information Engineering, Shanghai Maritime University, Shanghai, China.
Yu Y; School of Information Engineering, Shanghai Maritime University, Shanghai, China.

Brief Bioinform ; 24(1)2023 01 19.

Article em En | MEDLINE | ID: mdl-36502428

Assuntos

Doença de Alzheimer; Imageamento por Ressonância Magnética; Humanos; Imageamento por Ressonância Magnética/métodos; Doença de Alzheimer/genética; Redes Neurais de Computação; Algoritmos; Encéfalo/diagnóstico por imagem

Palavras-chave

Alzheimer's disease; improved genetic evolution random neural network cluster; multimodal data fusion; pathogenic factors

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Doença de Alzheimer Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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