Watch the workflow video:

New options and features implemented in V1.1

• Web App Interface: Choose a list of genes of interest
• Automated filtering based on dynamic thresholds determination with outliers’ detection.
• Automated determination of number of dimensions used in t-SNE reduction dimension.
• Automated determination of clustering resolution to maximize the cell diversity.
• Determination of gene markers per clusters/conditions using MAST and visualization.
• Trajectory analysis using slingshot library, marker genes detection of the pseudotimes and visualization.
• Specific target gene expression visualization per clusters and in the t-SNE visualization.
• Single HTML report with information tables exportable.

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