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Single-cell RNA-sequencing (scRNA-seq) enables the quantification of gene expression at the transcriptomic level with single-cell resolution, enhancing our understanding of cellular heterogeneity. However, the excessive missing values present in scRN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d29203e37d3f2c01561a7225a10f5f
https://doi.org/10.1101/2023.01.22.525114
https://doi.org/10.1101/2023.01.22.525114
Autor:
Liang Lan, Lu Zhang, Jiming Liu, Chinwang Cheong, William W. L. Cheung, Jiaxing Chen, Xin Zhou, Aiping Lyu
Publikováno v:
Briefings in Bioinformatics
Single-cell RNA sequencing has enabled to capture the gene activities at single-cell resolution, thus allowing reconstruction of cell-type-specific gene regulatory networks (GRNs). The available algorithms for reconstructing GRNs are commonly designe