Cargando…
Transformer for one stop interpretable cell type annotation
Consistent annotation transfer from reference dataset to query dataset is fundamental to the development and reproducibility of single-cell research. Compared with traditional annotation methods, deep learning based methods are faster and more automated. A series of useful single cell analysis tools...
Autores principales: | Chen, Jiawei, Xu, Hao, Tao, Wanyu, Chen, Zhaoxiong, Zhao, Yuxuan, Han, Jing-Dong J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840170/ https://www.ncbi.nlm.nih.gov/pubmed/36641532 http://dx.doi.org/10.1038/s41467-023-35923-4 |
Ejemplares similares
-
CCAS: One-stop and comprehensive annotation system for individual cancer genome at multi-omics level
por: Zheng, Xinchang, et al.
Publicado: (2022) -
How should we interpret conclusions of TKI-stopping studies
por: Gale, Robert Peter, et al.
Publicado: (2023) -
AnnoLnc2: the one-stop portal to systematically annotate novel lncRNAs for human and mouse
por: Ke, Lan, et al.
Publicado: (2020) -
MADAP, a flexible clustering tool for the interpretation of one-dimensional genome annotation data
por: Schmid, Christoph D., et al.
Publicado: (2007) -
scTransSort: Transformers for Intelligent Annotation of Cell Types by Gene Embeddings
por: Jiao, Linfang, et al.
Publicado: (2023)