Integrate the expression matrices of seqFISH and scRNAseq data to infer spatial expression patterns in three steps: normalize against sequencingtechnology specific gene expression distribution differences, implement a multiresponse LASSO regression for predictor gene selection and transcriptomelevel 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.
Package details 


Author  Sam Tracy 
Maintainer  Sam Tracy <stracy@g.harvard.edu> 
License  GPL2  GPL3 
Version  0.1.0 
URL  https://github.com/seasamgo/sera 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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