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©The Author(s) 2022.
Artif Intell Cancer. Apr 28, 2022; 3(2): 27-41
Published online Apr 28, 2022. doi: 10.35713/aic.v3.i2.27
Published online Apr 28, 2022. doi: 10.35713/aic.v3.i2.27
Table 1 Possible comparisons to be made during the unsupervised (i.e., we do not rely on the type of disease) global analysis of patients following the considered three different strategies
Strategy | Comparison |
Strategy 1 (classic) | 1 vs (2,3,4) |
2 vs (3,4) | |
3 vs 4 | |
Strategy 2 (1&1) | 1 vs 2; 1 vs 3; 1 vs 4 |
2 vs 1; 2 vs 3; 2 vs 4 | |
3 vs 1; 3 vs 2; 3 vs 4 | |
4 vs 1; 4 vs 2; 4 vs 3 | |
Strategy 3 (pairwise) | 1 vs (2,3,4) |
2 vs (1,3,4) | |
3 vs (1,2,4) | |
4 vs (1,2,3) |
- Citation: Abaach M, Morilla I. Learning models for colorectal cancer signature reconstruction and classification in patients with chronic inflammatory bowel disease. Artif Intell Cancer 2022; 3(2): 27-41
- URL: https://www.wjgnet.com/2644-3228/full/v3/i2/27.htm
- DOI: https://dx.doi.org/10.35713/aic.v3.i2.27