Table 1 Experimental results with different dataset.
From: Gene expression based prototype for automatic tumor prediction
Dataset | No. of Samples | No. of Gene in each chip | No. of Marker genes with q-value < 0.05 | No. of eigen-gene expression | No. of tissue subgroups | Classification Accuracy |
|---|---|---|---|---|---|---|
Brain Tumor: A [3] | Total: 42 Medullo: 10 Glioma: 10 AT/RTs: 10 Normal: 4 PNET: 8 | 6,817 | 1179 | 150 | Medullo: 5 Glioma: 5 AT/RTs: 5 Normal: 2 PNET: 3 | 92% |
Brain Tumor: B [3] | Total: 34 Classic: 25 Desmoplastic: 9 | 6,817 | 29 | 11 | Classic: 5 Desmoplastic: 3 | 97% |
Brain Tumor: C [3] | Total: 60 Survivor: 39 Deceased: 21 | 6,817 | 550 | 88 | Survivor: 5 Deceased: 4 | 98% |
Colon Cancer [5] | Total: 62 Normal: 22 Tumor: 40 | 6,500 | 104 | 37 | Normal: 7 Tumor: 9 | 97% |
Prostate Cancer [9] | Total: 102 Normal: 50 Tumor: 52 | 12,600 | 410 | 76 | Normal: 5 Tumor: 9 | 99% |
Leukemia [7] | Total: 72 All: 47 AML: 25 | 7,129 | 60 | 20 | All: 7 AML: 5 | 99% |
Breast Cancer [8] | Total: 38 ER +: 18 ER -: 20 | 7,129 | 109 | 38 | ER +: 9 ER -: 7 | 97% |