Published March 9, 2025
| Version v2
Dataset
Open
Investigating the performance of foundation models on human 3'UTR sequences - data
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1.
Helmholtz Zentrum München
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2.
Technical University of Munich
Description
Data accompanying the publication Sergey Vilov and Matthias Heinig "Investigating the performance of foundation models on human 3'UTR sequences"
This data can be analyzed with our associated Github code: https://github.com/sergeyvilov/investigating-foundation-models-3utr.
The model weigths for 3'UTR-specific models can be found in models/
The raw scores of all models on all tasks can be found in all_scores/
Files
all_scores.zip
Files
(21.1 GB)
| Name | Size | Download all |
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md5:aeb7ffae5ee4f293e0789f776e03acb1
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181.7 MB | Preview Download |
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md5:f832ede0bdd490905d4a23779197fe25
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2.5 GB | Preview Download |
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md5:c08e1659de671c0bce9103df8f330fd3
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331.2 MB | Preview Download |
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md5:b8e12c3c81da0d9b9e1f0663ab29fea2
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7.8 GB | Preview Download |
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md5:19f9507e97fd99f66116584e4eb7cf8f
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4.7 GB | Preview Download |
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md5:b9e2bde1df65e9b057d6021892af4cde
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4.3 MB | Preview Download |
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md5:d0b32bfeb31b9901edb24a6aaad3e14f
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2.1 GB | Preview Download |
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md5:178fe02dbbe43085499d86092a8c932f
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122.5 MB | Preview Download |
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md5:f626750489eae2ae038067479a1b4f5b
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3.4 GB | Preview Download |
Additional details
Related works
- Is part of
- Preprint: 10.1101/2024.02.09.579631 (DOI)