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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Bayesian Data Fusion with Gaussian Process Priors : An Application to Protein Fold Recognition |
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| 课程网址: | http://videolectures.net/pmsb06_girolami_apfr/ |
| 主讲教师: | Mark Girolami |
| 开课单位: | 格拉斯哥大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Various emerging quantitative measurement technologies are producing genome, transcriptome and proteome-wide data collections which has motivated the de- velopment of data integration methods within an inferential framework. It has been demonstrated that for certain prediction tasks within computational biol- ogy synergistic improvements in performance can be obtained via integration of a number of (possibly heterogeneous) data sources. In [1] six different parameter representations of proteins were employed for fold recognition of proteins using Support Vector Machines (SVM). |
| 关 键 词: | 定量测量技术; 计算生物学; 蛋白质折叠识别 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-10-14：yumf |
| 阅读次数: | 64 |