Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data.

ABSTRACT:

Background

Gene interaction networks are graphs in which nodes represent genes and edges represent functional interactions between them. These interactions can be at multiple levels, for instance, gene regulation, protein-protein interaction, or metabolic pathways. To analyse gene interaction networks at a large scale, gene co-expression network analysis is often applied on high-throughput gene expression data such as RNA sequencing data. With the advance in sequencing technology, expression of genes can be measured in individual cells. Single-cell RNA sequencing (scRNAseq) provides insights of cellular development, differentiation and characteristics at the transcriptomic level. High sparsity and high-dimensional data structures pose challenges in scRNAseq data analysis.

Result

SUBMITTER: Vo DHT 

PROVIDER: S-EPMC11515282 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature