You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Great work!
In section 2.4.4 the dataset from Agarwal and Kelley, 2022 (https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02811-x#availability-of-data-and-materials) is used but the mRNA stability model - Saluki from the same paper is not included in the benchmark. Saluki used UTRs and ORFs to make predictions so the comparison would ideally include a re-training/fine-tuning of the model on ORF only data but it would be interesting to see how the numbers compare to LLMs even without this (so, just using the existing Saluki model with ORF sequences only). I was wondering if there is a reason I am missing that lead to the choice of omitting this model from the benchmarking analysis.
Thanks!
The text was updated successfully, but these errors were encountered:
Great work!
In section 2.4.4 the dataset from Agarwal and Kelley, 2022 (https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02811-x#availability-of-data-and-materials) is used but the mRNA stability model - Saluki from the same paper is not included in the benchmark. Saluki used UTRs and ORFs to make predictions so the comparison would ideally include a re-training/fine-tuning of the model on ORF only data but it would be interesting to see how the numbers compare to LLMs even without this (so, just using the existing Saluki model with ORF sequences only). I was wondering if there is a reason I am missing that lead to the choice of omitting this model from the benchmarking analysis.
Thanks!
The text was updated successfully, but these errors were encountered: