https://github.com/marrlab/scifai-notebooks
https://github.com/marrlab/scifai-notebooks
Last synced: 12 months ago
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- Host: GitHub
- URL: https://github.com/marrlab/scifai-notebooks
- Owner: marrlab
- License: mit
- Created: 2023-10-11T20:51:52.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-10-11T20:53:43.000Z (almost 3 years ago)
- Last Synced: 2025-05-20T12:47:28.894Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 11.6 MB
- Stars: 0
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# scifAI-notebooks
Here, we present scifAI-notebooks which are used to analyze the synapse formation data including feature extraction, statistical analysis and machine learning methods. Each folder includes a jupyter notebook that is used for creation of the figures for the manuscript.
Note: this repository only includes the jupyter notebooks on the synapse formation data (to be published). For following on how this scifAI package is works, please refer to https://github.com/marrlab/scifAI
# How to cite this work
To cite this work, you would need to cite the preprint and the dataset:
preprint:
scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Sayedali Shetab Boushehri, Katharina Essig, Nikolaos-Kosmas Chlis, Sylvia Herter, Marina Bacac, Fabian J Theis, Elke Glasmacher, Carsten Marr, Fabian Schmich
bioRxiv 2022.10.24.513494; doi: https://doi.org/10.1101/2022.10.24.513494
dataset:
Essig, Katharina et al. (2022), An imaging flow cytometry dataset for profiling the immunological synapse of therapeutic antibodies, Dryad, Dataset, https://doi.org/10.5061/dryad.ht76hdrk7