Author: Lopez-Rincon Alejandro; Martinez-Archundia Marlet; Martinez-Ruiz Gustavo Ulises; Tonda Alberto
Title: Ensemble Feature Selection and Meta-Analysis of Cancer miRNA Biomarkers Document date: 2018_6_21
ID: 8dnyjuig_4_1
Snippet: ares the classification accuracy of each classifier using the full 1,046 119 features, with the accuracy obtained by the same classifier using a signature composed 120 by selected 100 features. It is interesting to notice how the accuracy is, for most cases, 121 unchanged, providing empirical evidence that a 100-miRNA signature is enough to 122 obtain good classification results......
Document: ares the classification accuracy of each classifier using the full 1,046 119 features, with the accuracy obtained by the same classifier using a signature composed 120 by selected 100 features. It is interesting to notice how the accuracy is, for most cases, 121 unchanged, providing empirical evidence that a 100-miRNA signature is enough to 122 obtain good classification results.
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