Recovery Rates Are Not Comparable Across Transcription Factors: Chance Correction for Attribution Evaluation

q-bio.OT, cs.AI

Submitted: 2026-07-31

Updated: 2026-07-31

Comments: 8 pages, 7 figures, 8 tables. Code and data: https://github.com/puckradi/gauge (archived at https://doi.org/10.5281/zenodo.21594374)

Code: https://github.com/puckradi/gauge

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

Related papers

• A mechanistic interpretation of mutation risk across biological scales
• Compositional proofreading through critical self-tuning
• 2D reaction-diffusion model-based biopsy simulation for dynamic tumor growth parameter estimation
• Flash-Radiomics: A Scalable Hybrid CPU-CUDA Engine for Standardized Scalar Radiomics and Accelerated Spatial Mapping
• Geochemical Hazard Assessment of Martian Regolith for Future Human Exploration
• BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving