图 书 馆
从大规模公共数据集构建化学组学模型并将其应用于工业数据集Building Chemogenomics Models from a Large-Scale Public Dataset and Applying them to Industrial Datasets |
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| 课程网址: | http://videolectures.net/icgeb_sturm_chemogenomics_models/ |
| 主讲教师: | Noé Sturm |
| 开课单位: | 阿斯利康制药有限公司 |
| 开课时间: | 2019-06-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | ExCAPE was a European funded project aiming at harvesting the power of supercomputers to speed up drug discovery. Thanks to the project team, we were given the amazing opportunity to build large-scale machine learning models for compound activity predictions from public databases and to apply them to industrial datasets. In this talk, I will present the process of collecting chemogenomics data from public resources to build a benchmark dataset. Subsequently, I will explain the process of building and evaluating the performance of models built with multi-task deep learning and matrix factorization algorithms. Ultimately, I will show how these models were applied to industrial datasets. |
| 关 键 词: | 大规模公共数据集; 数据科学; 构建化学组学模型; 应用于工业数据集 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-10-14：cyh |
| 最后编审: | 2022-10-14：cyh |
| 阅读次数: | 29 |