Vis-SPLIT: Interactive hierarchical modeling for mRNA expression classification Conference Paper


Authors: Roper, B.; Mathews, J. C.; Nadeem, S.; Park, J. H.
Title: Vis-SPLIT: Interactive hierarchical modeling for mRNA expression classification
Conference Title: 2023 IEEE Visualization and Visual Analytics (VIS 2023)
Abstract: We propose an interactive visual analytics tool, Vis-SPLIT, for partitioning a population of individuals into groups with similar gene signatures. Vis-SPLIT allows users to interactively explore a dataset and exploit visual separations to build a classification model for specific cancers. The visualization components reveal gene expression and correlation to assist specific partitioning decisions, while also providing overviews for the decision model and clustered genetic signatures. We demonstrate the effectiveness of our framework through a case study and evaluate its usability with domain experts. Our results show that Vis-SPLIT can classify patients based on their genetic signatures to effectively gain insights into RNA sequencing data, as compared to an existing classification system. © 2023 IEEE.
Keywords: gene expression; visualization; mrna expression; classification (of information); gene signatures; hierarchical model; visual analytics; human-centered computing; visualization application domains; analytic tools; applications domains; expressions classifications; visualization application; visualization application domain
Journal Title IEEE Xplore
Conference Dates: 2023 Oct 21-27
Conference Location: Melbourne, Australia
ISBN: 979-8-3503-2558-4
Publisher: Institute of Electrical and Electronics Engineers Inc.  
Date Published: 2023-01-01
Start Page: 106
End Page: 110
Language: English
DOI: 10.1109/vis54172.2023.00030
PROVIDER: scopus
DOI/URL:
Notes: Source: Scopus
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  1. James C Mathews
    13 Mathews
  2. Saad Nadeem
    50 Nadeem