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Is your feature request related to a problem? Please describe.
We want to be able to run and undo normalization procedures on data (e.g. undo Z-score, run Z-score, divide columns by sum, etc).
Describe the solution you'd like
We currently have a simply toggle button called Z-scored that shows up when a dataset has been initially Z-scored. We want to replace this with a more complicated normalization menu (similar to the reorder and recluster menus). This will allow users to run/undo normalization procedures on rows/columns (e.g. undo row Z-score then undo column divide by sum (UMI norm for scRNA-seq data)).
Describe alternatives you've considered
N.A.
Additional context
Depending on the state of incoming data we will need to allow certain calculations to be run and others not to be which depends on the normalization steps that the data has undergone.
To Do
fix row reordering with initialized z-scored data
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
We want to be able to run and undo normalization procedures on data (e.g. undo Z-score, run Z-score, divide columns by sum, etc).
Describe the solution you'd like
We currently have a simply toggle button called Z-scored that shows up when a dataset has been initially Z-scored. We want to replace this with a more complicated normalization menu (similar to the reorder and recluster menus). This will allow users to run/undo normalization procedures on rows/columns (e.g. undo row Z-score then undo column divide by sum (UMI norm for scRNA-seq data)).
Describe alternatives you've considered
N.A.
Additional context
Depending on the state of incoming data we will need to allow certain calculations to be run and others not to be which depends on the normalization steps that the data has undergone.
To Do
The text was updated successfully, but these errors were encountered: