COVID-19 miRNA
Cross-source consensus on COVID-19 miRNA from 1 sources and 4 claims.
1 sources · 4 claims
Benefits
Comparisons
Where it comes from
Highlighted claims
- StackFeat-RL produced an eight-gene COVID-19 consensus panel. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- The COVID-19 miRNA dataset contained 122 serum samples, 332 miRNA features, and nearly balanced COVID-control classes. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- On COVID-19 miRNA data, methods achieved similar median AUCs without statistically significant pairwise differences. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- The StackFeat-RL COVID-19 consensus panel was a superset of the previously reported five-miRNA StackFeat signature. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery