@inproceedings{13bbbf1353fb4490bdd175a8476d529d,
title = "GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts",
abstract = "This paper describes a visual interface for analyzing gene expression data generated from multiple biological samples under different controlled conditions. The tasks are to provide a comprehensive overview of thousands of genes under different states and have an intuitive way to narrow down genes with common behaviors. Our method involves using multidimensional projections and differential charts to help users analyze different data sets via a web-based interface. Incorporating these charts and other visualization techniques into our final design makes the application accessible to genetics analysts, as demonstrated in the two use cases in plant and cancer researches. We further discuss the feedback from domain experts and the limitations of our approach to accommodate gene exploration tasks.",
keywords = "Abiotic stress, Cancer research, Differential charts, Gene expression, Multidimensional projection, Venn diagram",
author = "Chau Pham and Vung Pham and Tommy Dang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 15th International Symposium on Visual Computing, ISVC 2020 ; Conference date: 05-10-2020 Through 07-10-2020",
year = "2020",
doi = "10.1007/978-3-030-64556-4_20",
language = "English",
isbn = "9783030645557",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "248--259",
editor = "George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Kwon, {Bum Chul} and Jian Zhao and Denis Kalkofen and George Baciu",
booktitle = "Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings",
}