aliemadi21/NP_Cellular_Decision_Making: Code and data for Emadi et al. (2026) PLOS Comp Biol submission
Abstract
Data and analysis code accompanying: Emadi A, Lipniacki T, Levchenko A, Abdi A. "Assessing the reliability of cellular decision making from noisy, multidimensional single-cell TNF–NF-κB signaling data." This repository contains: Single-cell NF-κB response data for wild-type and A20-/- fibroblasts MATLAB and Python scripts for Neyman-Pearson decision analysis Code for univariate and bivariate ROC computation Eigenvalue decomposition and Gil-Pelaez lemma implementations Full Changelog: https://github.com/aliemadi21/NP_Cellular_Decision_Making/commits/v1.0.0
Fields of Study & Subjects
Gene Regulatory Network Analysis
NF-κB Signaling Pathways
Single-cell and spatial transcriptomics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN