图 书 馆
从结构特征预测DNA结合蛋白Prediction of DNA-binding proteins from structural features |
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| 课程网址: | https://videolectures.net/videos/mlsb2010_szaboova_pdna |
| 主讲教师: | Andrea Szaboova |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2010-11-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We use logic-based machine learning to distinguish DNAbinding proteins from non-binding proteins. We combine previously suggested coarse-grained features (such as the dipole moment) with automatically constructed structural (spatial) features. Prediction based only on structural features already improves on the state-of-the-art predictive accuracies achieved in previous work with coarse-grained features. Accuracies are further improved when the combination of both feature categories is used. An important factor contributing to accurate prediction is that structural features are not Boolean but rather interpreted by counting the number of their occurences in a learning example. |
| 关 键 词: | DNAbind蛋白; 非结合蛋白; 机器学习区分 |
| 课程来源: | videolectures |
| 数据采集: | 2025-02-23：yuhongrui |
| 最后编审: | 2025-02-23：yuhongrui |
| 阅读次数: | 1 |