... | ... | @@ -8,7 +8,8 @@ In many bioimaging projects, image analysis produces quantitative descriptions o |
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- what do outliers look like?
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To address such questions, it is desirable to simultaneously and interactively visualize data points and the corresponding images and ROIs. This motivated the development of the Image Data Explorer (IDE).
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The main feature of the IDE consists in the linked visualization of images and data derived from these images presented in both a data table and a scatter plot. Linking the three representations allows them to simultaneously reflect the user's selection of data points.
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The main feature of the IDE consists in the linked visualization of images and data derived from these images presented in both a data table and a plot. Linking the three representations allows them to simultaneously reflect the user's selection of data points.
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To help with data exploration, the IDE also offers methods for dimensionality reduction, clustering as well as classification and feature selection.
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The IDE is a web-based app written in the R language using the shiny package.
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... | ... | @@ -21,3 +22,7 @@ The IDE is a web-based app written in the R language using the shiny package. |
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## **- Developer manual:**
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TO DO
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- [App structure and conventions]
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- [Adding new functionalities to a module]
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- [Adding a new module] |