@inproceedings{753cced81ffd4afdaf1dc5b2e13d5273,
title = "MaTSE: The microarray time-series explorer",
abstract = "This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory analysis of large scale microarray timeseries data. The software combines a variety of visualization and interaction techniques, which work together to allow biologists to explore their data and reveal patterns that would otherwise be impossible to find. These include a scatter-plot that can be animated to view different temporal intervals of the data, a multiple coordinated view framework to support the cross reference of multiple experimental conditions, a novel method for highlighting overlapping groups in the scatter-plot, and a pattern browser component that can be used with scatterplot box queries to support cooperative visualization.",
keywords = "Information visualization, animation, bioinformatics, microarray, timeseries",
author = "Paul Craig and Alan Cannon and Robert Kukla and Jessie Kennedy",
year = "2012",
doi = "10.1109/BioVis.2012.6378591",
language = "English",
isbn = "9781467347303",
series = "IEEE Symposium on Biological Data Visualization 2012, BioVis 2012 - Proceedings",
pages = "41--48",
booktitle = "IEEE Symposium on Biological Data Visualization 2012, BioVis 2012 - Proceedings",
note = "2nd IEEE Symposium on Biological Data Visualization, BioVis 2012 ; Conference date: 14-10-2012 Through 19-10-2012",
}