AI4SCR/MatchCLOT
Python package implementing our method MatchCLOT for multimodal single-cell data integration
This tool helps biologists and medical researchers integrate information from different types of single-cell measurements, such as gene expression and protein levels, from the same cells. It takes in raw or pre-processed single-cell multi-omic datasets and generates a mapping that links individual cells across these different data types, providing a unified view of each cell. This is ideal for scientists studying cellular heterogeneity and complex biological processes.
No commits in the last 6 months. Available on PyPI.
Use this if you need to combine and analyze single-cell data from different measurement technologies, enabling a comprehensive understanding of cellular states.
Not ideal if you are working with bulk-omics data or need to integrate single-cell data that isn't from paired modalities.
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14
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3
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
May 19, 2023
Monthly downloads
14
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0
Dependencies
11
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