Trait Decoder (Beta)

Using machine learning classifiers, the best model is obtained by testing the different parameters of the selected model with the positive and negative sample genes provided by the user for a certain trait, and predicting whether the direct connection point in the positive sample belongs to the trait (Note: If the number of directly connected genes of the positive sample exceeds 300 genes, the program will randomly select 300 genes ).

Machine Learning Method:

Randomly Generate negative Samples:

Providing Element ID to be Predicted:

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