is a package facilitates accurate cell clustering by iteratively incorporating neighborhood information using the Expectation-Maximization algorithm, designed for data generated through the Fluorescence in situ Hybridization (FISH) technique
git clone https://github.com/haotianteng/FICT.git
cd FICT
conda activate YOUR_VIR_ENVIRONMENT
python setup.py install
fict --help
Currently different FISH project using different data format, so 4 scripts are provided for dataset preparation for different datasets in FICT-SAMPLE tutorial repository.
Please check FICT-SAMPLE for sample code to run FICT.
If you used FICT in your work, please cite:
Teng, H., Yuan, Y., & Bar-Joseph, Z. (2021). Clustering Spatial Transcriptomics Data. Bioinformatics.
If you find any problem during using FICT, please don't hesitate to submit an issue through Github, or directly contact us through the email [email protected]