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Hello! It seems that the 'baselines' folder you mentioned contains three types of baseline networks. However, apart from the DAE, it appears that the other two DDPM-based baselines only have validatio…
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I was able able to run the code perfectly but the hyperparameters given for mTAN-full do not achieve 0.858 AUROC on physionet2012. The highest is AUROC ~0.827 with AUPRC ~0.45.
This is achieved wi…
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### Describe the workflow you want to enable
For multioutput problems, all-zero label columns (or in general constant label columns) can sometimes happen, for example when using cross-validation. Mos…
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Hey all, I'm using RAGatouille as a retriever for langchain like so
````Python
RAG = RAGPretrainedModel.from_index(".ragatouille/colbert/indexes/clr-docs")
retriever = RAG.as_langchain_retriever(…
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does the DTINet generates new xlsx file after running run_DTINet file? because i am not getting any new DTI file. i am just getting AUROC and AUPRC value after running run_DTI file.
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Hi! I have tried to train the Leopard model only on the DNA seq of reference genome and remove the DNase-seq / delta DNase out from the input feature. However, the prediction result only gives the val…
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We ran the code according to the given hyper-parameters, but the scores we got were much lower than the given baseline score. For example, in our experiment, the PR-AUC of Track 1 is 0.40 and the ROC-…
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Just see if there will be an improvement. This will not be part of the manuscript
visze updated
2 years ago
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Hi David,
I am interested in Basset style predictions based on peaks. I would like to understand how to tune the parameters, especially peak length.
I did a test run with default parameters and…
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Hello. I produce the train data from RCSB PDB recently. And I get 7604 samples(6701 proteins, 6341 peptides) and get a low performance on AUROC and AUPRC. It is inconsistent with the data in your pape…