图 书 馆
从序列中发现非诱导模式Discovery of Non-induced Patterns from Sequences |
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| 课程网址: | http://videolectures.net/prib2010_wong_dnps/ |
| 主讲教师: | Andrew K. C. Wong |
| 开课单位: | 滑铁卢大学 |
| 开课时间: | 2010-10-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Discovering patterns from sequence data has significant impact in genomics, proteomics and business. A problem commonly encountered is that the patterns discovered often contain many redundancies resulted from fake significant patterns induced by their strong statistically significant subpatterns. The concept of statistically induced patterns is proposed to capture these redundancies. An algorithm is then developed to efficiently discover non-induced significant patterns from a large sequence dataset. For performance evaluation, two experiments were conducted to demonstrate a) the seriousness of the problem using synthetic data and b) top non-induced significant patterns discovered from Saccharomyces cerevisiae (Yeast) do correspond to the transcription factor binding sites found by the biologists. The experiments confirm the effectiveness of our method in generating a relatively small set of patterns revealing interesting, unknown information inherent in the sequences. |
| 关 键 词: | 序列数据; 基因组; 蛋白质组学 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-14：lxf |
| 阅读次数: | 49 |