双聚类分析与可视化方法综述

Melih Sozdinler
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引用次数: 0

摘要

双聚类是近年来生物信息学研究的热点之一,引起了各学科学者的广泛关注。因此,来自不同学科的许多不同的方法被提出作为双聚类问题的解决方案。这个问题的结果是,各种各样的解决方案使得评估所建议的方法变得更加困难。在这篇综述中,我们的目的是讨论双聚类的分析和可视化,作为比较新的和现有的双聚类算法的指南。此外,我们将重点关注提供可视化的工具以及附带的分析技术。通过本文,我们提供了一些参考文献,也为那些将从事双聚类研究的人提供了一个简短的回顾。本文概述如下:我们首先给出了可视化和分析方法,然后对每个提出的工具进行了可视化贡献和分析选项的评估,最后讨论了未来的聚类方向,并提出了未来工作的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Analysis and Visualization Methods for Biclustering
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.
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