https://mwoo-usyd.r-universe.devRecent package updates in mwoo-usydR-universehttps://github.com/mwoo-usyd.pnghttps://mwoo-usyd.r-universe.devTue, 14 Jul 2026 02:47:24 GMTmwoo5086@uni.sydney.edu.au (Max Woollard)Weighted Sliced Inverse Regression (wSIR) is a supervised dimension reduction algorithm for spatial transcriptomics gene expression data. For a provided gene expression matrix and dataframe of each cell's spatial coordinates, wSIR creates a low-dimensional representation of the gene expression data that preserves the ability to predict spatial coordinates that was present in the gene expression data. Furthermore, wSIR provides interpretable loadings which allow for projection of new single-cell gene expression data into a low-dimensional space which preserves the spatial information present in the gene expression data.https://github.com/r-universe/bioc/actions/runs/38873448513Tue, 14 Jul 2026 02:47:24 GMTwSIR0.99.9successhttps://bioc.r-universe.devhttps://github.com/bioc/wSIRwSIR.RmdwSIR.htmlWeighted Sliced Inverse Regression (WSIR)2026-06-18 23:07:252026-07-14 02:47:24