图 书 馆开课单位--华威大学
1
2
3
4
5
6
7
8
9
10
1Circadian control of xenobiotic carcinogenesis and cancer pharmacology[外源性致癌的昼夜节律控制与肿瘤药理学]
Francis Lévi(华威大学) Xenobiotic metabolism and detoxification, as well as cell cycle events, DNA repair, apoptosis and angiogenesis are rhythmically controlled by the Circ...
热度：67
Francis Lévi(华威大学) Xenobiotic metabolism and detoxification, as well as cell cycle events, DNA repair, apoptosis and angiogenesis are rhythmically controlled by the Circ...
热度：67
2Non-Linear Dynamics[非线性动力学]
Colm Connaughton(华威大学) For many non-specialists, notions of nonlinearity, chaos and complexity are often blurred together in scientific discourse. In reality, chaos is only ...
热度：248
Colm Connaughton(华威大学) For many non-specialists, notions of nonlinearity, chaos and complexity are often blurred together in scientific discourse. In reality, chaos is only ...
热度：248
3Toward Systems Cancer Chronotherapeutics and its integration into home care[系统癌症时间疗法及其与家庭护理的整合]
Francis Lévi(华威大学) Chronotherapeutics aim at improving treatment outcomes through the delivery of medicines according to the Circadian Timing System (CTS), a complex hie...
热度：67
Francis Lévi(华威大学) Chronotherapeutics aim at improving treatment outcomes through the delivery of medicines according to the Circadian Timing System (CTS), a complex hie...
热度：67
4Models, assumptions and confidence limits[模型、假设和置信限]
John Copas(华威大学) Confidence intervals reflect our uncertainty about a parameter of interest, and models reflect our assumptions about the context of the data. Some of ...
热度：44
John Copas(华威大学) Confidence intervals reflect our uncertainty about a parameter of interest, and models reflect our assumptions about the context of the data. Some of ...
热度：44
5Monte Carlo Simulations of Platelets [血小板的Monte Carlo模拟]
Michael P. Allen(华威大学) Colloidal suspensions of platelets are known, experimentally, to show a variety of phenomena reflecting the interplay of their Oseen-Frank elastic con...
热度：61
Michael P. Allen(华威大学) Colloidal suspensions of platelets are known, experimentally, to show a variety of phenomena reflecting the interplay of their Oseen-Frank elastic con...
热度：61
6Network inference using steady-state data and Goldbeter-Koshland kinetics[利用稳态数据和动力学进行网络推理]
Chris J Oates(华威大学) **Motivation:** Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and protein...
热度：41
Chris J Oates(华威大学) **Motivation:** Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and protein...
热度：41
7Towards a Polymer Model of Genetic Recombination[一种遗传重组的高分子模型]
Christopher Penfold(华威大学) Homologous recombination (HR) refers to the shuffling of genetic material during cellular division e.g., meiosis and mitosis, and in response to envir...
热度：51
Christopher Penfold(华威大学) Homologous recombination (HR) refers to the shuffling of genetic material during cellular division e.g., meiosis and mitosis, and in response to envir...
热度：51
8Statistical analysis of protein patternation on cell membranes during immunological synapse[在免疫突触蛋白在细胞膜上的喷雾型态分布统计分析]
Vladimir Miloserdov(华威大学) A statistical analysis of two different experiments is considered. Both of them are related to understanding the mechanism behind the distribution of ...
热度：50
Vladimir Miloserdov(华威大学) A statistical analysis of two different experiments is considered. Both of them are related to understanding the mechanism behind the distribution of ...
热度：50
9Exploring experimental designs for network inference using perturbations and a Bayesian sequential learning strategy[探索使用扰动和贝叶斯连续学习策略的网络推理的实验设计]
Christopher Penfold(华威大学) Modern approaches to systems biology call for a tightly coupled iterative cycle of computational modelling and independent experimental validation of ...
热度：46
Christopher Penfold(华威大学) Modern approaches to systems biology call for a tightly coupled iterative cycle of computational modelling and independent experimental validation of ...
热度：46
10A Bayesian Clustering Analysis of Breast Cancer Gene Expression[乳腺癌基因表达的贝叶斯聚类分析]
Richard S. Savage(华威大学)
热度：33
Richard S. Savage(华威大学)
热度：33