Published November 5, 2022
| Version v1
Dataset
Open
single-cell RNAseq data (data set 20) 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 (dataset20) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from breast cancer samples downloaded from the GEO website (GSE180286).
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
(134.6 MB)
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md5:89e7e6dd847680bf9debd6ab7da66f86
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md5:5c5fbc58226a922d2f75fa25ba28bc74
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md5:23c85cdf78b711cf6e67afb03e88728f
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md5:e7b108d2d6b3d35fb339e430fc48ee6a
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md5:8912b855e80fe85e6302784837689b06
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md5:402e4b4bf1b88a48a7da7ffec77b44f3
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md5:63cbb10d914985a747235322d327575f
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