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Load dataset

Current Data


                        
                        

Load data from local folder

Advanced: Select an .RData file that you downloaded from SUSHI's result folder

Testing

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This app is designed to directly load results produced with sushi http://fgcz-sushi.uzh.ch . Alternatively you can load Sushi .RData results that you saved to your disk.

Summary of loaded data

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No input data detected. Please, load your results to see the configuration options

Select genes for the analysis

Selection Summary

Select, remove or edit samples

Edit the sample names and experimental factors. Samples will be grouped according to experimental factors Deselect samples to remove them from the visualizations.

Reorder samples

Reorder samples according to experimental factors

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Settings

All genes

All genes

Top high variance genes

Top high variance genes

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Settings

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MDS (multi-dimensional scaling) shows the dissimilarities of the samples Our visualization uses a two-dimensional mapping

MDS plot

MDS plot info

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Settings

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PCA (Principal Component Analysis) shows similar to MDS sample dissimilarities in a low-dimensional space See the intuitive explanation: Intuitive explanation for PCA PCA is plotted based on all genes and on only on the most highly variable genes

All genes

All genes
TODO

Top high variance genes

Top high variance genes
TODO

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Settings

The Heatmap highlights expression changes of highly variable genes. For a given gene, the colors indicate the log2 difference relative to the baseline samples. By default the average of all samples is the baseline. But specific samples can be selected using the baseline menu.
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