The present invention provides for methods, systems and computer products for aligning single cell data with spatial data to generate spatial maps of cell types and gene expression at single cell resolution. The invention further provides for mapping to common coordinate frameworks.
Deep learning and alignment of spatially-resolved whole transcriptomes of single cells / Aviv Regev, Tommaso Biancalani, Gabriele Scalia, Lorenzo Buffoni. - (2021).
Deep learning and alignment of spatially-resolved whole transcriptomes of single cells
Lorenzo Buffoni
2021
Abstract
The present invention provides for methods, systems and computer products for aligning single cell data with spatial data to generate spatial maps of cell types and gene expression at single cell resolution. The invention further provides for mapping to common coordinate frameworks.
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