Biological signal filtering in single-cell data.
Project description
Signal FilTering is a tool for uncovering hidden biological processes in single-cell data. It can be applied to a wide range of tasks, from the removal of unwanted variation as a pre-processing step, through revealing hidden biological structure by utilizing prior knowledge with respect to existing signal, to uncovering trajectories of interest using reference data to remove unwanted variation.
Visit our documentation for installation, tutorials, examples and more.
Manuscript
Please see our manuscript Zoe Piran and Mor Nitzan (2022).
Installation
Install SiFT via PyPI by running:
pip install sift-sc
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