Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.
Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.
Genomics. 2014 Jan;103(1):11-20. doi: 10.1016/j.ygeno.2014.01.004. Epub 2014 Jan 17.
Advances in science and technology have resulted in an exponential growth of multivariate (or multi-dimensional) datasets which are being generated from various research areas especially in the domain of biological sciences. Visualization and analysis of such data (with the objective of uncovering the hidden patterns therein) is an important and challenging task. We present a tool, called Igloo-Plot, for efficient visualization of multidimensional datasets. The tool addresses some of the key limitations of contemporary multivariate visualization and analysis tools. The visualization layout, not only facilitates an easy identification of clusters of data-points having similar feature compositions, but also the 'marker features' specific to each of these clusters. The applicability of the various functionalities implemented herein is demonstrated using several well studied multi-dimensional datasets. Igloo-Plot is expected to be a valuable resource for researchers working in multivariate data mining studies. Igloo-Plot is available for download from: http://metagenomics.atc.tcs.com/IglooPlot/.
科学技术的进步导致多元(或多维)数据集呈指数级增长,这些数据集来自各个研究领域,特别是生物科学领域。对这些数据(旨在揭示其中的隐藏模式)进行可视化和分析是一项重要而具有挑战性的任务。我们提出了一种称为 Igloo-Plot 的工具,用于高效可视化多维数据集。该工具解决了当代多元可视化和分析工具的一些关键限制。可视化布局不仅便于轻松识别具有相似特征组成的数据点聚类,还便于识别每个聚类的“标记特征”。使用几个经过充分研究的多维数据集演示了此处实现的各种功能的适用性。Igloo-Plot 有望成为从事多元数据分析研究的研究人员的宝贵资源。Igloo-Plot 可从以下网址下载:http://metagenomics.atc.tcs.com/IglooPlot/。