4.6 Article

Visual Data Mining of Biological Networks: One Size Does Not Fit All

期刊

PLOS COMPUTATIONAL BIOLOGY
卷 9, 期 1, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1002833

关键词

-

资金

  1. Ontario Research Fund [GL2-01-030]
  2. Canada Foundation for Innovation (CFI) [12301, 203373, 29272]
  3. Ontario Ministry of Health and Long Term Care
  4. Friuli Exchange Program
  5. Canada Research Chair Program (CRC) [203373, 225404]

向作者/读者索取更多资源

High-throughput technologies produce massive amounts of data. However, individual methods yield data specific to the technique used and biological setup. The integration of such diverse data is necessary for the qualitative analysis of information relevant to hypotheses or discoveries. It is often useful to integrate these datasets using pathways and protein interaction networks to get a broader view of the experiment. The resulting network needs to be able to focus on either the large-scale picture or on the more detailed small-scale subsets, depending on the research question and goals. In this tutorial, we illustrate a workflow useful to integrate, analyze, and visualize data from different sources, and highlight important features of tools to support such analyses.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据