Welcome to scParadise documentation!#
scParadise is a fast, tunable, high-throughput automatic cell type annotation and modality imputation python framework.
scParadise includes three sets of tools:
scParadise enables users to utilize a selection of pre-existing models (scAdam or scEve) as well as to develop, train and optimize custom models tailored to specific research needs.
scNoah facilitates the evaluation of novel models and methods for automated cell type annotation and modality imputation in scRNA-seq analysis.
scParadise is now in active development.
If you have any ideas, enhancements, or bug fixes, please feel free to submit a pull request in a scParadise GitHub repo.
Installation guide for scParadise.
Do you want your cells to be annotated and modalities predicted?
The table of scAdam and scEve models
The API reference of scParadise modules and functions
The theory of scParadise key concepts
The repository where you can try to find a solution of your problem
Contributing#
We warmly welcome contributions to scParadise! If you have any ideas, enhancements, or bug fixes, please feel free to submit a pull request. Additionally, we encourage you to report any issues you encounter while using scParadise. Your feedback is invaluable in helping us improve the tool!
Small jokes from the scParadise team#
So Adam gave names to all Monocytes, to the T cells of the blood, and to every living cell. But for Adam there was not found a helper comparable to him.
She became pregnant and gave birth to new modality. Eve said, “With the Lord’s help, I have given birth to a surface proteins.”
Pairs of all functions that have the ability to check models quality in them came to Noah and entered the module.