DNN-PNN: A parallel deep neural network model to improve anticancer drug sensitivity.

Chen, Siqi; Yang, Yang; Zhou, Haoran; Sun, Qisong; Su, Ran

Chen, Siqi; Yang, Yang; Zhou, Haoran; Sun, Qisong; Su, Ran.

Affiliation

Chen S; College of Intelligence and Computing, Tianjin University, Tianjin 300072, China. Electronic address: siqichen@tju.edu.cn.
Yang Y; College of Intelligence and Computing, Tianjin University, Tianjin 300072, China.
Zhou H; College of Intelligence and Computing, Tianjin University, Tianjin 300072, China.
Sun Q; College of Intelligence and Computing, Tianjin University, Tianjin 300072, China.
Su R; College of Intelligence and Computing, Tianjin University, Tianjin 300072, China. Electronic address: ran.su@tju.edu.cn.

Methods ; 209: 1-9, 2023 01.

Article in En | MEDLINE | ID: mdl-36410694

Subject(s)

Antineoplastic Agents; Neural Networks, Computer; Machine Learning; Antineoplastic Agents/pharmacology; Antineoplastic Agents/therapeutic use

Key words

Deep learning; Drug sensitivity; Prediction

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Antineoplastic Agents Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2023 Type: Article

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