Published November 5, 2022
| Version v1
Dataset
Open
single-cell RNAseq data (data set 16) in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data
Authors/Creators
- 1. University of Luxembourg
Description
The present dataset (dataset16) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from CD4 T-cells in PACA samples downloaded from the GEO website (GSE156728).
see the protocol: scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data
and github: https://github.com/sysbiolux/scFASTCORMICS
For more information, version updates of the scFASTCORMICS.
Files
scdata_cluster_0.txt
Files
(192.1 MB)
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md5:f4b853126d1e5c66135345da2d4f9ab3
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md5:7247d896af7da7575b235d77bb2332af
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md5:37138f386ce129cd1c9e8e282dc8d63a
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md5:cda71566d4c8633e520c14d191f80758
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md5:fb824eec90dc665ab2d0dc836cfd351c
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