Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data

Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data

Abstract Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for understanding complex cellular regulation. However, the inherent noise and sparsity of scRNA-seq data present significant challenges to accurate GRN inference. This...

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Bibliographic Details
Main Authors: Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone
Format: Article
Language:English
Published: Springer Nature 2025-02-01
Series:Molecular Systems Biology
Subjects:
Gene Regulatory Network Inference
Prior Knowledge
Single-cell Transcriptomics
Single-cell Multiomics
Graph Learning
Online Access:https://doi.org/10.1038/s44320-025-00088-3

Internet

https://doi.org/10.1038/s44320-025-00088-3

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