Recursive model for dose-time responses in pharmacological studies.

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作者： Saugato Rahman,Dhruba ^[1] ; Aminur,Rahman ^[2] ; Raziur,Rahman ^[1] ; Souparno,Ghosh ^[3] ; Ranadip,Pal ^[1]

作者单位： Department of Electrical and Computer Engineering, Texas Tech University, 1012 Boston Ave, Lubbock, 79409, TX, USA. ^[1] Department of Mathematics and Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, 79409, TX, USA. ^[2] Department of Mathematics and Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, 79409, TX, USA. souparno.ghosh@ttu.edu. ^[3]

关键词 Dose-response curve Drug sensitivity prediction Gompertz law HMS-LINCS Joint dose-time modeling Pharmacogenomic studies Recursive modeling Tumor growth model

主题词计算机模拟(Computer Simulation);数据库(主题)(Databases as Topic);剂量效应关系, 药物(Dose-Response Relationship, Drug);人类(Humans);模型, 理论(Models, Theoretical);药理学(Pharmacology);时间因素(Time Factors)

DOI 10.1186/s12859-019-2831-4

PMID 31216980

发布时间 2021-09-21

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