Published March 27, 2020
| Version v3
Dataset
Open
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Description
This repository contains input files from the synthetic, curated, and processed experimental single-cell gene expression datasets used in BEELINE.
New in version 3:
1) Ground-truth networks used for analysis of experimental scRNA-seq datasets for mouse and human datasets
2) Changed license to CC BY-NC 4.0 from GPL v3.0 to account for the non-commercial clause for the network data
Files
BEELINE-data.zip
Files
(279.1 MB)
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md5:52581e7e27aa699310384238daac4751
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262.3 MB | Preview Download |
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md5:a7dca84d302bb127bad962ae52815662
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16.8 MB | Preview Download |