Direction Instability: A Magnitude-Invariant Metric for Cross-Cell-Line Drug Mechanism Transport

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Authors: Elliot Tower
Cited by: 2

Abstract

Direction instability (DI) scores and validation data for 8,949 drugs from the LINCS L1000 Connectivity Map (978 landmark genes, 167,266 signatures). DI quantifies the directional consistency of a drug's transcriptomic effects across cell lines (DI = 1 - mean pairwise cosine similarity of unit-normalized signatures). Because DI operates on normalized directions, it is invariant to effect magnitude by construction. Biological validity is established through three independent non-cosine channels: Jaccard gene-set overlap (AUROC = 0.957), CCLE target expression breadth (p = 1.1e-5), and PRISM viability concordance (p = 0.019). The scorer and validation labels were frozen under pre-registered commit SHAs (1dc20a2 and 43d7f8a) before any real data were analyzed. This deposit contains per-drug DI scores with population-null p-values (JSON), leave-one-out holdout predictions (JSON), geometric validity test results and plots (JSON/PNG), pre-registration documents (frozen before analysis), and the analysis codebase (Python).

Fields of Study & Subjects

Single-cell and spatial transcriptomics Bioinformatics and Genomic Networks Computational Drug Discovery Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 July 2026
Document type
Preprint