single-cell-transformer-papers
Examine the role of transformers in single-cell omics, featuring a carefully curated list of notable models and their comprehensive assessments. This collection excludes bulk-data-based or partially transformative models, highlighting key applications in the single-cell field. Contributions through pull requests or issues are encouraged for community engagement. Discover models like Precious3GPT and LangCell that provide innovative approaches in scRNA-seq and spatial transcriptomics. Gain insights into advancements in zero-shot tasks, cell type annotation, and other novel methodologies.
