图 书 馆
蛋白质分析的机器学习方法Machine Learning Methods For Protein Analyses |
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| 课程网址: | http://videolectures.net/mlsb09_noble_mlmfpa/ |
| 主讲教师: | William Stafford Noble |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2009-10-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Computational biologists, and biologists more generally, spend a lot of time trying to more fully characterize proteins. In this talk, I will describe several of our recent efforts to use machine learning methods to gain a better understanding of proteins. First, we tackle one of the oldest problems in computational biology, the recognition of distant evolutionary relationships among protein sequences. We show that by exploiting a global protein similarity network, coupled with a latent space embedding, we can detect remote protein homologs more accurately than state-of-the-art methods such as PSI-BLAST and HHPred. Second, we use machine learning methods to improve our ability to identify proteins in complex biological samples on the basis of shotgun proteomics data. I will describe two quite different approaches to this problem, one generative and one discriminative. |
| 关 键 词: | 计算生物学; 表征蛋白质; 远距离进化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-02：cwx |
| 阅读次数: | 91 |