Address the Mean-variance Relationship in Spatial Transcriptomics Data.
Spatially-aware quality control for spatial transcriptomics.
R package to model gene expression of spatially resolved transcriptomics data using generalized geo-additive models.
R package built off of ggplot2 and the Gestalt principles to visualize multi-dimensional data in the 2D space (e.g. embedding or spatial visualizations).
Software R package to build scalable Bayesian hierarchical additive models using spike-and-slab priors for high-dimensional data analysis.
Software R package to build random forests algorithm to infer treatment effect for multivariate outcome
