Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction.

Liang, Jing; Li, Zong-Wei; Sun, Ze-Ning; Bi, Ying; Cheng, Han; Zeng, Tao; Guo, Wei-Feng

Liang, Jing; Li, Zong-Wei; Sun, Ze-Ning; Bi, Ying; Cheng, Han; Zeng, Tao; Guo, Wei-Feng.

Afiliación

Liang J; School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Li ZW; State Key Laboratory of Intelligent Agricultural Power Equipment, Zhengzhou University, Luoyang 471000, China.
Sun ZN; School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Bi Y; School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Cheng H; School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zeng T; School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Guo WF; Guangzhou National Laboratory, Guangzhou 510005, China.

Brief Bioinform ; 24(6)2023 09 22.

Article en En | MEDLINE | ID: mdl-37833844

Asunto(s)

Adenocarcinoma del Pulmón; Neoplasias de la Mama; Neoplasias Pulmonares; Humanos; Femenino; Biomarcadores; Neoplasias de la Mama/diagnóstico; Neoplasias de la Mama/genética; Oncogenes; Adenocarcinoma del Pulmón/genética; Neoplasias Pulmonares/diagnóstico; Neoplasias Pulmonares/genética

Palabras clave

drug targets; latent space research; multi-purpose disease prediction; multimodal optimization; personalized dynamic edge-network biomarkers

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Adenocarcinoma del Pulmón / Neoplasias Pulmonares Límite: Female / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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