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- W2208173822 abstract "Large gene expression heatmaps (>= 200 genes) are difficult to read: while general expression level patterns may be observed via hierarchical clustering, the identities of specific gene names become entirely unreadable at large scale. More importantly, current state-of-the-art heatmaps are entirely static and require programming skills to produce. We create a user-friendly web app to create heatmaps that are both dynamic and interactive. A few mouse clicks allows a user to generate a heatmap based on an input .csv file and proceed to dynamically navigate to any sector of the heatmap via zooming in and out to any specific region, cluster, or even single gene. In addition to magnification, MicroScope also allows users to hover the mouse pointer over any specific gene to show precise expression level details, as well as create row and column dendrograms with colored branches using simple button clicks. As such, MicroScope presents a significant advance in heatmap visualization technology over current standard protocols. MicroScope is hosted online as an RShiny web app based on the D3 JavaScript library: https://microscope.shinyapps.io/microscope. The methods are implemented in R, and are available as part of the MicroScope project at: https://github.com/Bohdan-Khomtchouk/Microscope." @default.
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- W2208173822 date "2015-12-17" @default.
- W2208173822 modified "2023-09-23" @default.
- W2208173822 title "MicroScope: magnifying interactive gene expression heatmaps with RShiny and JavaScript" @default.
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