1. Referring to Equations 1 and 4, what is the relationship between \eta and Q. 2. All along, Q, K and V are matrices but in Equation 4, \eta and V are 1-d vectors. What is the reasoning for this? 3. DeepTCR: Why is DeepRC not compared with DeepTCR? 4. The number of repertoires are from 700 - 5K: how long is each repertoire? How are duplicate repertoires handled? 5. Given these are large datasets, why is a CV factor of 5 chosen? Was DeepRC checked with higher CV factors? 6. From the results, SVM MinMax is close on the heels of DeepRC. Why would one consider DeepRC over SVMs? 7. Are the DeepRC-identified motifs biologically interpretable? Minor comments: MM stands for both multiple motifs as well as MinMax. There are typos in the last section of the paper.
5. Given these are large datasets, why is a CV factor of 5 chosen? Was DeepRC checked with higher CV factors?