An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data
Ali Sheharyar, Talar Boghos Yacoubian, Dina Aljogol, Borbala Mifsud,, Dena Al Thani, Michael Aupetit
TL;DR
This paper introduces an interactive R-Shiny tool that enhances traditional MA plots, making exploratory transcriptomic data analysis more user-friendly and insightful through added features.
Contribution
It presents the design of an interactive MA plot tool using R-Shiny, improving usability for transcriptomic data analysis compared to static plots.
Findings
Enhanced usability through interactivity
Expert feedback supports tool effectiveness
Facilitates deeper exploration of gene expression data
Abstract
MA plots are used to analyze the genome-wide differences in gene expression between two distinct biological conditions. An MA plot is usually rendered as a static scatter plot. Our interview with 3 experts in genomics showed that we could improve the usability of this plot by adding interactive analytic features. In this work we present the design study of the enhanced MA plot.
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Taxonomy
TopicsGene expression and cancer classification · Evolutionary Algorithms and Applications · Algorithms and Data Compression