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@@ -25,11 +25,7 @@ safetensors from `gs://tewhey-public-data/CODA_resources/` with no retraining or
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  modification.
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  For genome-wide variant effect prediction, use
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- [MPAC](https://huggingface.co/saarantras1/MPAC) instead: it is this architecture
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- retrained across chromosome folds, so a query can be scored by models that never
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- saw its chromosome. Malinois trained on all chromosomes except its own held-out
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- sets (validation chr19, chr21, chrX; test chr7, chr13), so scoring human genomic
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- sequence with it will overstate accuracy on anything it trained on.
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  ## Usage
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  modification.
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  For genome-wide variant effect prediction, use
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+ [MPAC](https://huggingface.co/saarantras1/MPAC) instead.
 
 
 
 
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  ## Usage
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