scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data

By Wenchuan Wang, Fan Yang, Yuejing Fang, Duyu Tang, Junzhou Huang, Hui Lu, Jianhua Yao. 2022

618 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefano Ermon
2. Christopher R'e
3. Yoshua Bengio
4. Yang Song
5. Sergey Levine
6. Armin W. Thomas
7. Pieter Abbeel
8. Quoc V. Le

Citations in the corpus

• HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution (2023, background): “…models (FMs) in genomics to learn generalizable features from unstructured whole genome data that can then be fine-tuned for a number of tasks including predicting the location and function of genes, identifying regulatory elements, and analyzing the evolution of species [25, 10, 20, 3, 53, 58].”