wSIR

Description

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.

Code

Code metrics have not been computed for this package yet.

Topics

People

• Max Woollard author maintainer
• Shila Ghazanfar author
• Linh Nghiem author
• Pratibha Panwar contributor