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I am currently working with the HCT116 nanopore data and have successfully run the m6ANet pipeline. The AUROC and AUPR values are within the expected range, which is very encouraging. However, I noticed that after processing the HCT116 data, the final dataset contains approximately 3,200 trainable sites (including both positive and negative samples), with positive samples accounting for about 5% of the total.
Is this number of trainable sites typical for the HCT116 dataset when processed with m6Anet?
I would like to ask whether the fast5 training data for RNA004 has been made public. Also, where can I obtain it?
I am currently working with the HCT116 nanopore data and have successfully run the m6ANet pipeline. The AUROC and AUPR values are within the expected range, which is very encouraging. However, I noticed that after processing the HCT116 data, the final dataset contains approximately 3,200 trainable sites (including both positive and negative samples), with positive samples accounting for about 5% of the total.
Is this number of trainable sites typical for the HCT116 dataset when processed with m6Anet?
I would like to ask whether the fast5 training data for RNA004 has been made public. Also, where can I obtain it?