New package scPairs with initial version 0.1.8

Thu, 05 Mar 2026 05:02:00 CDT

Package: scPairs
Version: 0.1.8
Title: Identifying Synergistic Gene Pairs in Single-Cell and Spatial Transcriptomics
Description: Discovers synergistic gene pairs in single-cell RNA-seq and spatial transcriptomics data. Unlike conventional pairwise co-expression analyses that rely on a single correlation metric, scPairs integrates 14 complementary metrics across five orthogonal evidence layers to compute a composite synergy score with optional permutation-based significance testing. The five evidence layers span cell-level co-expression (Pearson, Spearman, biweight midcorrelation, mutual information, ratio consistency), neighbourhood-aware smoothing (KNN-smoothed correlation, neighbourhood co-expression, cluster pseudo-bulk, cross-cell-type, neighbourhood synergy), prior biological knowledge (GO/KEGG co-annotation Jaccard, pathway bridge score), trans-cellular interaction, and spatial co-variation (Lee's L, co-location quotient). This multi-scale design enables researchers to move beyond simple co-expression towards a comprehensive characterisation of cooperative gene regulation at transcriptomic and spatial reso [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/zhaoqing-wang/scPairs
BugReports: https://github.com/zhaoqing-wang/scPairs/issues
Depends: R (>= 4.1.0)
Imports: data.table, ggplot2, ggraph, ggrepel, igraph, methods, Matrix, patchwork, Seurat (>= 4.0), SeuratObject, stats, tidygraph, tidyr
Suggests: AnnotationDbi, org.Mm.eg.db, org.Hs.eg.db, crayon, ggExtra, RANN, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Date: 2026-02-28
NeedsCompilation: no
Packaged: 2026-02-28 10:16:08 UTC; Runaw
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-05 10:30:02 UTC

More information about scPairs at CRAN