2 papers
stat.ME2026
Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
Austin Talbot, Alex V. Kotlar, Yue Ke
Targeted amplicon panels are widely used in oncology diagnostics, but providing per-gene performance guarantees for copy number variant (CNV) detection remains challenging due to a…
cs.CV2025
Hierarchical Deep Learning for Diatom Image Classification: A Multi-Level Taxonomic Approach
Yueying Ke
Accurate taxonomic identification of diatoms is essential for aquatic ecosystem monitoring, yet conventional methods depend heavily on expert taxonomists. Recent deep learning appr…