图 书 馆开课单位--格拉斯哥大学
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1Time delay analysis[时间延迟分析]
Catherine Higham(格拉斯哥大学) Bayesian Inference and Markov Chain Monte Carlo methods have been ad- vocated for the estimation of model parameters from ODEs by Rogers et al. (Bayes...
热度：56
Catherine Higham(格拉斯哥大学) Bayesian Inference and Markov Chain Monte Carlo methods have been ad- vocated for the estimation of model parameters from ODEs by Rogers et al. (Bayes...
热度：56
2Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions[通过先验知识和/或不同实验条件的贝叶斯集成重建基因调控网络]
Dirk Husmeier(格拉斯哥大学) There have been various attempts to improve the reconstruction of gene regulatory networks from microarray data by the systematic integration of biolo...
热度：34
Dirk Husmeier(格拉斯哥大学) There have been various attempts to improve the reconstruction of gene regulatory networks from microarray data by the systematic integration of biolo...
热度：34
34Leveraging Review Properties for Effective Recommendation[利用审查属性进行有效推荐]
Xi Wang(格拉斯哥大学) Leveraging Review Properties for Effective Recommendation
热度：50
Xi Wang(格拉斯哥大学) Leveraging Review Properties for Effective Recommendation
热度：50
5BioBayes: Bayesian inference for Systems Biology[BioBayes：系统生物学的贝叶斯推论]
Vladislav Vyshemirsky(格拉斯哥大学) There are several levels of uncertainty involved in modelling biochemical systems. For example, the experimental data usually contains considerable am...
热度：93
Vladislav Vyshemirsky(格拉斯哥大学) There are several levels of uncertainty involved in modelling biochemical systems. For example, the experimental data usually contains considerable am...
热度：93
6Gravitational Waves: A New Astronomy[引力波：一种新的天文学]
Sheila Rowan(格拉斯哥大学) Ripples in the curvature of space-time – "gravitational waves" – are produced by some of the most energetic and dramatic phenome...
热度：69
Sheila Rowan(格拉斯哥大学) Ripples in the curvature of space-time – "gravitational waves" – are produced by some of the most energetic and dramatic phenome...
热度：69
7Diffusions and Geodesic Flows on Manifolds: The Differential Geometry of Markov Chain Monte Carlo[流形上的扩散与测地线流：马尔可夫链蒙特卡罗微分几何]
Mark Girolami(格拉斯哥大学) Markov Chain Monte Carlo methods provide the most comprehensive set of simulation based tools to enable inference over many classes of statistical mod...
热度：69
Mark Girolami(格拉斯哥大学) Markov Chain Monte Carlo methods provide the most comprehensive set of simulation based tools to enable inference over many classes of statistical mod...
热度：69
8Gravitational Waves: A New Astronomy[引力波：一种新的天文学]
Sheila Rowan(格拉斯哥大学) Ripples in the curvature of space-time – "gravitational waves" – are produced by some of the most energetic and dramatic phenome...
热度：37
Sheila Rowan(格拉斯哥大学) Ripples in the curvature of space-time – "gravitational waves" – are produced by some of the most energetic and dramatic phenome...
热度：37
9Bayesian Data Fusion with Gaussian Process Priors : An Application to Protein Fold Recognition[高斯过程先验贝叶斯数据融合：一个应用于蛋白质折叠识别]
Mark Girolami(格拉斯哥大学) Various emerging quantitative measurement technologies are producing genome, transcriptome and proteome-wide data collections which has motivated the ...
热度：72
Mark Girolami(格拉斯哥大学) Various emerging quantitative measurement technologies are producing genome, transcriptome and proteome-wide data collections which has motivated the ...
热度：72
10Model based identification of transcription factor activity from microarray data[基于模型的微阵列数据转录因子活性鉴定]
Simon Rogers(格拉斯哥大学) With the increase in volume of gene expression data available from high throughput microarray experiments, much research interest has been directed at...
热度：43
Simon Rogers(格拉斯哥大学) With the increase in volume of gene expression data available from high throughput microarray experiments, much research interest has been directed at...
热度：43