ExpressionCellNet: Network-Based Analysis of Gene Expression Perturbations
Abstract
Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
Fields of Study & Subjects
Bioinformatics and Genomic Networks
Gene Regulatory Network Analysis
Gene expression and cancer classification
Publication details
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset