SWIMR Improves Spatial Transcriptomics Cell Type Deconvolution
Researchers introduced SWIMR, a statistical framework that integrates multiple single-cell RNA sequencing references to improve cell-type deconvolution accuracy in spatial ...
Researchers introduced SWIMR, a statistical framework that integrates multiple single-cell RNA sequencing references to improve cell-type deconvolution accuracy in spatial ...
A new deconvolution framework called ESMF uses single-cell reference data, negative binomial noise modeling and dual-validated marker selection to estimate ...
A comprehensive independent evaluation finds the new Illumina MethylationEPIC v2 BeadChip offers expanded enhancer coverage, low-input performance down to one ...
A new dual-branch deep learning framework called CrossBranch improves the estimation of cell-type composition from bulk, proteomic, and spatial omics ...
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© 2025 Scienmag - Science Magazine