Learning Across Bioassays Without Pretending Same Biology via Context-Aware and Assay-Specific Prediction
Year: 2025
Type: article
Abstract: Bioactivity modeling often gains statistical power by pooling assays, sharing representations, or transferring parameters across related prediction tasks. These strategies are useful, but they can quietly replace a biological question with a convenience assumption that measurements obtained under different assay conditions represent the same response variable up to noise. This methodological article argues that assay context should instead be treated as part of the prediction target whenever exp
DOI: 10.51847/kuws08zaqx
Authors: Omar Zayed, Leila Ibrahim, Ahmed Mansour
Institution: Cairo University
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7220414316