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 2 Predicted results of classifier for discriminating CRC patients from HP
| Test set (49 × 10) | Training set (98 × 10) | |||
| HP | CRC | HP | CRC | |
| HP (92 × 10) | 287 | 25 | 599 | 9 |
| CRC (55 × 10) | 19 | 159 | 29 | 343 |
| Specificity (%) | 92 (287/(287 + 25)) | 99 (599/(599 + 9)) | ||
| Sensitivity (%) | 89 (159/(159 + 19)) | 92 (343/(343 + 29)) | ||
| Positive value (%) | 86 (159/(159 + 25)) | 97 (343/(343 + 9)) | ||
- 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