Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

Table 7 Variation in classification accuracy as a function of parameters for consensus-GE on gene-expression data

Classification accuracies for testing cohorts of 4 different binary class gene-expression datasets for ${\tilde{X}}_{G E}^{S}$ and ${\tilde{X}}_{G E}^{U S}$ , while varying the number of subsets M generated within CreateEmbed.