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Analysis and simulation of an Adfovir anti-hepatitis B virus infection therapy immune model with ala
ISSN号:1751-8849
期刊名称:IET Systems Biology
时间:2013.10.10
页码:205-213
相关项目:几类复杂网络的若干广义同步理论及部分应用研究
作者:
苏永美|赵蕾|闵乐泉|
同期刊论文项目
几类复杂网络的若干广义同步理论及部分应用研究
期刊论文 51
会议论文 21
同项目期刊论文
A time delay HBV therapy mathematical model for entecovir and adefovir
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Simulation of clinical data under the therapy of adefovior by mathematical model
结合邻域信息的改进抑制式FCM图像分割方法
Design s-box based on the discrete chaos synchronization systems
An Optimized Iteration Algorithm based on C-V model and Graph Cuts
多阈值优化交互式分割算法及其在医学图像中的应用
Mahalanobis Distance and Fuzzy C-Means Clustering Based Matting Algorithm
Improved Snake model Algorithm with Application in Liver Image Segmentation
HBV infection modeling and numerical simulation for anti-HBV infection personalized combination ther
A time delay anti-HBV infection treatment mathematical model with adefovir
Modeling and Simulation for Dynamics of Anti-HBV Infection Therapy
一种基于三维离散混沌映射的伪随机数生成器
Chinese herbal medicine (CHM) personalized therapy for HBeAg(+) chronic hepatitise B Chinese patient
一种新的混沌图像加密算法设计
Modeling and simulating the dynamics of Tenofovir Disoproxil Fumarate(TDF) anti-HBV infection therap
Study of the evaluation the outcomes of acute-on-chronic hepatitis liver failure
Dynamics Analysis of an HBV Infection Model and Prediction of Long-Term Therapy Results
Modeling and Simulating Dynamics of Complete- and Poor-Response Chronic Hepatitis B Chinese Patients
S-盒的Lyapunov指数研究
Susceptible-infected-recovered models with natural birth and death on complex networks
A novel stream encryption scheme with avalanche effect
Study On the Statistical Test for String Pseudorandom Number Generators
黑猩猩急性乙型肝炎病毒感染动力学
溶瘤疗法动力学模型的改进与分析
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改进的HBV感染模型动力学分析及数值模拟
基于PLC的摩托车制动器在线检测监控系统
HIV模型动力学分析及抗HIV感染治疗仿真
改进的病毒感染动力学模型的稳定性分析
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灰度图像逻辑或运算CNN模板的顽健性设计
基于Arnold变换的图像置乱密码的安全性分析
Existence of heteroclinic orbits in a novel three-order dynamical system
Design of strong S-boxes based on spatiotemporal chaotic system
Automatic Liver Segmentation Scheme for MRI Images Based on Cellular Neural Networks
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