Copyright
©The Author(s) 2004.
World J Gastroenterol. Nov 1, 2004; 10(21): 3127-3131
Published online Nov 1, 2004. doi: 10.3748/wjg.v10.i21.3127
Published online Nov 1, 2004. doi: 10.3748/wjg.v10.i21.3127
Table 4 Predicted results of classifier for discriminating CRC patients from CRA
| Test set (30 × 3) | Training set (60 × 3) | |||
| CRA | CRC | CRA | CRC | |
| CRA (35 × 3) | 29 | 6 | 56 | 14 |
| CRC (55 × 3) | 6 | 49 | 16 | 94 |
| Specificity (%) | 83 (29/(29 + 6)) | 80 (56/(56 + 14)) | ||
| Sensitivity (%) | 89 (49/(49 + 6)) | 85 (94/(94 + 16)) | ||
| Positive value (%) | 89 (49/(49 + 6)) | 87 (94/(94 + 14)) | ||
- Citation: Yu JK, Chen YD, Zheng S. An integrated approach to the detection of colorectal cancer utilizing proteomics and bioinformatics. World J Gastroenterol 2004; 10(21): 3127-3131
- URL: https://www.wjgnet.com/1007-9327/full/v10/i21/3127.htm
- DOI: https://dx.doi.org/10.3748/wjg.v10.i21.3127