Hit Selection Using SSMD-Based Machine Learning Performance Metrics in High-Throughput Screening Assays

arXiv:2608.07609 · stat.AP, cs.AI, q-bio.QM, stat.ML · Submitted 2026-08-06 · Read on arXiv

stat.AP, cs.AI, q-bio.QM, stat.ML

Submitted: 2026-08-06

Updated: 2026-08-06

Comments: 20 pages, 2 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUROC — 40× in this paper · explained in 3 episodes
• Sparsity — 7× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• AUC — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• False Negatives — 1× in this paper · explained in 2 episodes
• Formal Methods — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Heavy-Tailed Distributions — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes

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