Published 2025
| Version v2
Dataset
Open
Data and code for "Improved Genomic Prediction Performance with Ensembles of Diverse Models"
- 1. The University of Queensland
- 2. The ARC Centre of Excellence for Plant Success in Nature and Agriculture
Description
The preprocessed data of the TeoNAM dataset by Chen et al. (2019) and code for the ensemble approach used in the manuscript "Improved Genomic Prediction Performance with Ensembles of Diverse Models".
Files
W22TIL01_geno_imputed.csv
Files
(158.8 MB)
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md5:f657ea505d7cc7f4f6fd064d86c93798
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md5:2229d9f5bb5e9f5428640cb2f1c397d5
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md5:ee89bdc743a3f8763d49fc897df415f5
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md5:d684bed72b20dd417fd41f3924d3861e
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md5:8115cedacd7b4e6426b3cacec52befb6
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md5:01d95da7c00cd13fee8cc5fe63a31f5b
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26.4 kB | Preview Download |
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md5:86bb8441facb6c7f02a7335b3a1bb8a3
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17.5 MB | Preview Download |
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md5:52813c5bd021d2305d93575b61d697f3
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8.8 MB | Preview Download |
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md5:9d46e929a2c1cdfa1d5e15ed2cf7f667
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md5:226d2cc8e7a975d93a00608d3a9149cb
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16.2 MB | Preview Download |
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md5:b8901d9cb20e29298adb89602ec4a5d5
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8.2 MB | Preview Download |
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md5:5355dc15d4ee0bb45e0ef76da7051106
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23.9 kB | Preview Download |
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md5:450dac5ea0d5dd5e5e522e4a606a7c89
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md5:7ce1c1f29d468f682c49bec8055e9f69
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14.0 MB | Preview Download |
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md5:9f357a04b7681a7b8cede3193b2558b2
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32.9 kB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/ShunichiroT/ensemble
- Programming language
- Python, R
- Development Status
- Active