From: Analyzing the similarity of samples and genes by MG-PCC algorithm, t-SNE-SS and t-SNE-SG maps
data-i | Algorithm: MG- | NO. of mini-groups | NO. of misjudged tumor samples | NO. of misjudged normal samples |
---|---|---|---|---|
data-1 | PCC | 4 | 0 | 0 |
Euclidean-1 | 3 | 0 | 0 | |
Euclidean-2 | 4 | 0 | 0 | |
Euclidean-3 | 4 | 0 | 0 | |
data-2 | PCC | 7 | 0 | 3 |
Euclidean-1 | 6 | 0 | 3 | |
Euclidean-2 | 6 | 0 | 2 | |
Euclidean-3 | 7 | 0 | 0 | |
data-3 | PCC | 5 | 0 | 0 |
Euclidean-1 | 5 | 0 | 0 | |
Euclidean-2 | 4 | 0 | 0 | |
Euclidean-3 | 6 | 0 | 0 | |
data-4 | PCC | 13 | 0 | 1 |
Euclidean-1 | 13 | 0 | 1 | |
Euclidean-2 | 12 | 0 | 1 | |
Euclidean-3 | 10 | 0 | 0 | |
data-5 | PCC | 23 | 2 | 2 |
Euclidean-1 | 23 | 2 | 3 | |
Euclidean-2 | 24 | 2 | 2 | |
Euclidean-3 | 24 | 0 | 4 |