seasamgo/sera: Infer seqFISH expression patterns using scRNA-seq data

Integrate the expression matrices of seqFISH and scRNA-seq data to infer spatial expression patterns in three steps: normalize against sequencing-technology specific gene expression distribution differences, implement a multi-response LASSO regression for predictor gene selection and transcriptome-level estimation, determine estimable genes for the small subset of predictor genes using a local polynomial regression against the penalized coefficient L1 norm and estimate variation threshold.

install.packages("remotes")
remotes::install_github("seasamgo/sera")