SCMeTA is a python library of single-cell meta-analysis tools. It provides a set of functions for single-cell meta-analysis, including data integration, batch effect correction, cell type annotation, cell clustering, cell trajectory inference, and cell type marker identification. It also provides a set of functions for single-cell data visualization, including dimension reduction, cell clustering, cell trajectory inference, and cell type marker identification.
SCMeTA is available on PyPI and can be installed with pip:
pip install scmetafrom SCMeTA import Process
sc = Process()
# Load data
sc.load("data/example.RAW")
# Data process
sc.pre_process()
sc.process()
sc.post_process()The official documentation is hosted on Read the Docs: https://sc-meta.com/
SCMeTA is licensed under the GPLv3 license. See the LICENSE file for more details.