Gene print-based cell subtypes annotation of human disease across heterogeneous datasets with gPRINT
(A) Selected human single-cell transcriptome profiles from HCL and other public datasets were utilized to train and validate gPRINT. The human single-cell data encompasses 159,302 cells from 26 ...
The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.
Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...
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