本文中，我回顾了一个概念性问题及基于测序的全基因组表观遗传学数据分析的当前可用的软件工具。
In this article, I review some of the conceptual issues and currently available software tools for the analysis of sequencing-based whole-genome epigenetics data.
她表示：“人们认为野外考古学就和印地安娜琼斯（影片《夺宝奇兵》主角）一样，可事实并非如此，我们所做的很多工作都是进行数据分析。”
“People think of field archaeology as Indiana Jones, but much of what you really do is data analysis, ” she said.
计算机不仅可以解决统计中的数据分析时的计算问题，也可以用来解决统计学中的实验设计问题。
The computer is used not only in resolving the problem of data analysis, but also in design of experiment.
本课程的重点是数据分析以及概率论和统计学的理论基础。
This course focuses on analysis of data and the theoretical underpinnings of probability and statistics.
面板数据分析是数量经济学中一门重要的分支，在经济领域中有着广泛的应用。
Analysis of face plate data is a main branch in quantitative economics, there is wide application in economic domain.
现在这个概念涵盖了数据分析的应用和统计学在新的领域中的应用，从零售到人力资源。
Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources.
以一个实际的例子来剖析统计学教学的内容体系，反映统计从数据搜集、数据整理和数据分析活动全过程的一般模式。
By analysing the content system of statistics teaching with a real example. This paper reflects the general mode of the statistical course including data arrangement and data analysis.
这本书系统地汇集了图像处理，数据分析和分子生物学领域，推动在这一重要领域中的艺术状态。
This book systematically brings together the fields of image processing, data analysis, and molecular biology to advance the state of the art in this important area.
课程包括实验心理学，统计和数据分析，精神药理学，普通生物学，动物生理学。
Courses include experimental psychology, statistics and data analysis, psychopharmacology, general biology, and animal physiology.
课程包括实验数据分析、法医化学、应用光谱学以及其他。
Courses of study include experimental data analysis, forensic chemistry, applied spectroscopy, and other subjects.
根据数据分析，以因无菌性松动和影像学松动进行翻修为止点，可预测髋臼假体的15年存活率为各为96%和91%。
Analysis predicted rates of survival of the acetabular component of 96% and 91% at 15 years, with revision for aseptic loosening and radiologic loosening as the end points, respectively.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
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