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I noticed that Pando utilizes regression models like GLM to fit gene expression based on TF expression and chromatin accessibilities without dividing the data into training and test sets. Can I infer that in this scenario, the model is prone to overfitting? Does this strategy provide any benefits for gene expression regulation?
The text was updated successfully, but these errors were encountered:
Hi,
I noticed that Pando utilizes regression models like GLM to fit gene expression based on TF expression and chromatin accessibilities without dividing the data into training and test sets. Can I infer that in this scenario, the model is prone to overfitting? Does this strategy provide any benefits for gene expression regulation?
The text was updated successfully, but these errors were encountered: