From: Analyzing the similarity of samples and genes by MG-PCC algorithm, t-SNE-SS and t-SNE-SG maps
A k | NO. of | NO. of | Tumor | Control | P-value |
---|---|---|---|---|---|
genes | samples | samples(Bk) | samples(Ck) | P-value | |
A 1 | 1355 | 31 | 16 TN-smokers | 15 NN-smokers | < 10−5 |
(GDS3257) | (GDS3257) | ||||
A 2 | 1129 | 36 | 18 TF-smokers | 18 NF-smokers | < 10−5 |
(GDS3257) | (GDS3257) | ||||
A 3 | 2055 | 40 | 24 TC-smokers | 16 NC-smokers | < 10−5 |
(GDS3257) | (GDS3257) | ||||
A 4 | 817 | 76 | 18 TF-smokers, | 18NF-smokers | < 10−5 |
24 TC-smokers | 16NC-smokers | < 10−5 | |||
(GDS3257) | (GDS3257) | ∗ | |||
A 5 | 1739 | 120 | 60 TN-smokers | 60 NN-smokers | < 10−12 |
(GDS3837) | (GDS3837) |