ShinyCell2: An extended library for simple and sharable visualisation of spatial, peak-based and multi-omic single-cell data
Bei Jun CheniD, Yi Yang Lim, Xinyi Yang, Lijin WangiD, Owen J. L. RackhamiD, John F. OuyangiD
Abstract
Single-cell technologies now span multiple modalities, generating large, complex datasets that challenge analysis and sharing. We present ShinyCell2, an enhanced R package for interactive visualisation of single-cell multi-omics and spatial transcriptomics data. ShinyCell2 retains the simplicity and lightweight deployment of its predecessor while introducing advanced visualisations, cross-modality comparisons, and statistical tools tailored to spatial and multi-omic data. It enables intuitive, rapid exploration of high-dimensional data without requiring extensive computational expertise.
02 /Specification & Classification
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