Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
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Reference mapping for single-cell genomics
scPerturb: A resource and a python/R tool for single-cell perturbation data
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.