双聚类的分析和可视化方法回顾

最近，双聚类是生物信息学的热门话题之一，引起了几个不同学科的作者的注意。因此，来自不同学科的许多不同方法被提出来作为解决双聚类问题的方法。作为这个问题的结果，各种解决方案使得评估所提出的方法更加困难。通过这篇评论文章，我们旨在讨论双聚类的分析和可视化，作为全新的和现有的双聚类算法之间比较的指导。此外，我们专注于提供可视化的工具，并伴随着分析技术。通过这篇论文，我们给出了一些参考文献，这些文献也是对那些将从事双聚类研究的人的技术现状的简短回顾。论文大纲如下：我们首先给出了可视化和分析方法，然后我们用可视化的贡献和分析选项来评估每个建议的工具，最后，我们讨论了双聚类的未来方向，并提出了未来工作的标准。

原文题目：A Review on Analysis and Visualization Methods for Biclustering

原文：Recently, biclustering is one of the hot topics in bioinformatics and takes the attention of authors from several different disciplines. Hence, many different methodologies from a variety of disciplines are proposed as a solution to the biclustering problem. As a consequence of this issue, a variety of solutions makes it harder to evaluate the proposed methods. With this review paper, we are aimed to discuss both analysis and visualization of biclustering as a guide for the comparisons between brand new and existing biclustering algorithms. Additionally, we concentrate on the tools that provide visualizations with accompanied analysis techniques. Through the paper, we give several references that are also a short review of the state of the art for the ones who will pursue research on biclustering. The Paper outline is as follows; we first give the visualization and analysis methods, then we evaluate each proposed tool with the visualization contribution and analysis options, finally, we discuss future directions for biclustering and we propose standards for future work.