Published February 21, 2024
| Version v1
Dataset
Open
Fourteen Years of Cellular Deconvolution: Methodology, Applications, Technical Evaluation, and Outstanding Challenges
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1.
Auburn University
Description
The CELLxGENE datasets are used to reproduce the benchmarking results in the article "Fourteen Years of Cellular Deconvolution: Applications, Benchmark, Methodology, and Challenges". The instruction to download the data from CELLxGENE can be found at https://github.com/tinnlab/DeconBenchmark-analysis.
Files
Files
(30.8 GB)
| Name | Size | Download all |
|---|---|---|
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md5:1c0b832023436e440853ba2e224ede55
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3.7 GB | Download |
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md5:889e418760e019aaf6b458da9ee12aa5
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2.6 GB | Download |
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md5:21e95bbc2b186a1e66b2f1efbd835486
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3.4 GB | Download |
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md5:5cf86b1bbd966a052cac17bbc3d19c16
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5.4 GB | Download |
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md5:6e3c784f6c723624f97a1aa910f83254
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3.5 GB | Download |
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md5:e651e7021d3e7d99f914aea4931bd708
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6.6 GB | Download |
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md5:32e5140a6593511bcaebb31317abc3f0
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551.9 MB | Download |
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md5:822d9a99c656f0db4dc27aeb3f04d4ee
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420.3 MB | Download |
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md5:5921bf1c4116f286211af296f349a386
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499.7 MB | Download |
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md5:89f267e48e7a57fe6c24119a370bf409
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4.1 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/tinnlab/DeconBenchmark-analysis
- Programming language
- R
- Development Status
- Active