Scale-Invariant Single-Cell Transcriptomics: Eradicating Batch Effects and Enabling Cross-Species Zero-Shot Oncology via Relational Calculus
Year: 2026
Type: preprint
Abstract: This paper introduces a Relational Calculus Framework that converts absolute single‑cell RNA counts into dimensionless fractions of a cell’s housekeeping gene capacity, mathematically canceling sequencing‑depth artifacts. Trained exclusively on a mouse breast cancer model and tested zero‑shot on shallow‑sequenced human TNBC, a lightweight XGBoost model maintains 98.4% accuracy under a 70% covariate shift, while a derived Relational Imbalance Index (ρ) predicts therapeutic vulnerabilities, turning tumor architecture into a universal vulnerability map.
Source: OSF Preprints (OSF Preprints)
Author: Concas, Massimiliano
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7156661175
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