Table 5 Reduction of number of genes for different sample size in dataset
From: Dimensionality reduction and class prediction algorithm with application to microarray Big Data
Sample size | Rank of the extracted basis (steps 1 and 2) | Nb of genes with Kendall rank correlation \(<0.5\) (step 3) | Final selected genes (step 5) |
|---|---|---|---|
89 | 89 | 31 | 5 |
80 | 80 | 26 | 5 |
75 | 75 | 31 | 3 |
70 | 70 | 34 | 10 |
60 | 60 | 34 | 10 |
50 | 50 | 24 | 8 |