Tensor network-based gene regulatory network inference for single-cell transcriptomic data

doi:10.1016/j.isci.2026.116619

Tensor network-based gene regulatory network inference for single-cell transcriptomic data

2026-07-02

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Olatz Sanz Larrarte *

Josu Etxezarreta Martínez *

DOI：10.1016/j.isci.2026.116619

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• Tensor network-based methods improve inference of gene regulatory network structure • Single cell RNA-seq data are mapped into a quantum system capturing all correlations • Applications demonstrated with data from lymphoblastoid and breast epithelial cells • The tensor network method is more accurate than other fully quantum techniques

Keywords:

gene regulatory networks

inference

tensor networks

scRNA-seq

Bioinformatics

Systems biology

Transcriptomics

Tensor network-based gene regulatory network inference for single-cell transcriptomic data

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