结果发现，这两个操作对时间顺序信息学习的促进作用不显著。
The results showed that grouping did not facilitate the learning of temporal order information under both conditions.
人类从故事中学习，这已经持续了非常非常非常长的时间了，比我们只从讲座里的数据和信息学习长了几千 年。
Humans have been learning from stories for, well, a really really really long time. Millenia longer than we've been learning from lectures on just the dataand information.
总结归纳了机器学习方法在目前生物信息学的应用，并对支撑向量机（SVM）算法的基本原理做了阐述；
Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).
生物信息学专业学习如何利用基金和方程序来整理和理解生物数据，包括基因数据。
Bioinformatics majors learn how to use computers and equations to sort and make sense of biological data, including genetic data.
使用机器学习方法分析生物信息学中的复杂数据是目前重要的研究领域之一。
With the development of the bioinformatics, how to analyzes complex genomics data using machine learning approach has become an important research field.
这里，我们讨论了基于电子学习环境开发和发布一个生物信息学教育系统的重要性。
Here, we discuss its importance in developing and delivering an educational system in Bioinformatics based one-learning environment.
微阵列数据的分析需要生物学家 与生物信息学家或学习统计的基础知识和编程。
The analysis of microarray data requires biologists to collaborate with bioinformaticians or learn the basics of statistics and programming.
微阵列数据的分析需要生物学家 与生物信息学家或学习统计的基础知识和编程。
The analysis of microarray data requires biologists to collaborate with bioinformaticians or learn the basics of statistics and programming.
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