Basic Study
Copyright ©The Author(s) 2020.
World J Gastroenterol. Oct 28, 2020; 26(40): 6207-6223
Published online Oct 28, 2020. doi: 10.3748/wjg.v26.i40.6207
Table 1 The advantages and disadvantages between the mutation panel test and deep learning-based method

Mutation panel test
Deep learning-based method
Advantages(1) High throughput method: Multiplex analysis of various genes; and (2) Quantitative and sensitive detection of genomic aberrations.(1) More rapid turnaround time: Once trained, the predictions are fast (less than 5 min per gene) and fully automated; (2) Better picture of tumor heterogeneity: Heat map analysis provides insights into spatial distribution of mutations; and (3) Remote testing: It may be able to detect genetic mutation from pictures taken directly from the microscope at the remote institute.
Disadvantages(1) Longer turnaround time: Run lasts from 1 to 3 d; and (2) High complexity of workflow: Requires complex sample preparation.(1) Requires separate classifier for each gene; (2) Requires large training dataset: Neural networks work best with more data; and (3) Deep learning method is a black box: It is not straightforward to understand how the decision is made.