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.
|Maintainer||Sam Tracy <email@example.com>|
|License||GPL-2 | GPL-3|
|Package repository||View on GitHub|
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