Published November 5, 2022
| Version v1
Dataset
Open
single-cell RNAseq data (data set 5) 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 (dataset5) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from pancreas donor3 downloaded from the GEO website (GSE114297).
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
(94.4 MB)
| Name | Size | Download all |
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md5:05461829c4cdd520ff8adbc7d4b058d6
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15.8 MB | Preview Download |
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md5:0703115714ed8fa86f412be0748ad3fd
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16.0 MB | Preview Download |
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md5:e36257f345a43b2915ed3cac776810dd
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2.2 MB | Preview Download |
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md5:3c6fc620685621fad52a67fd43226d81
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13.0 MB | Preview Download |
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md5:507d2c4f6c9d40b2b036b7d625b7a37b
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11.5 MB | Preview Download |
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md5:f687e1a68a842c00cf3d9480df00f9d5
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9.8 MB | Preview Download |
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md5:68d6a3088a6e5395cb890e90a9bd1d9d
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6.8 MB | Preview Download |
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md5:c790bbf6e7d872aaeea58bee7b347c0b
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6.6 MB | Preview Download |
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md5:5f6cb45d87ef6cd25af09aa0e5e23e50
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6.5 MB | Preview Download |
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md5:c97d9d00cc1996b9832711ed08c71e45
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3.5 MB | Preview Download |
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md5:9cc8b9f545e5b1aaece3a925a99f54e9
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2.7 MB | Preview Download |