Published November 7, 2022
| Version 1.0.0
Dataset
Open
Analysis results reported in "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"
Authors/Creators
- 1. Institute of Computational Biology, Helmholtz Center Munich, Germany
- 2. EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Australia
- 3. Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
Description
Analysis results reported in "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps" (biorxiv) of 4i data. Analysis of this dataset was done with CAMPA, and all scripts to reproduce these results are available in the CAMPA reproducibility repository.
Files
VAE_all.zip
Files
(8.9 GB)
| Name | Size | Download all |
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md5:6dd3e0e5d57b196e90d4e0830e18d67a
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2.8 GB | Preview Download |
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md5:9bd402ea8388d246274d0d23b60803a1
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6.1 GB | Preview Download |
Additional details
Related works
- Is compiled by
- Software: https://github.com/theislab/campa_ana (URL)
- Is derived from
- Dataset: 10.5281/zenodo.7299516 (DOI)
- Is described by
- Preprint: 10.1101/2022.05.07.490900 (DOI)