157 related articles for article (PubMed ID: 38366803)
1. scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.
Zhai Y; Chen L; Deng M
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38366803
[TBL] [Abstract][Full Text] [Related]
2. scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.
Zhai Y; Chen L; Deng M
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36869836
[TBL] [Abstract][Full Text] [Related]
3. Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data.
Gan Y; Chen Y; Xu G; Guo W; Zou G
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37313714
[TBL] [Abstract][Full Text] [Related]
4. Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data.
Wan H; Yuan M; Fu Y; Deng M
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38388681
[TBL] [Abstract][Full Text] [Related]
5. scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data.
Wan H; Chen L; Deng M
Bioinformatics; 2022 Mar; 38(6):1575-1583. PubMed ID: 34999761
[TBL] [Abstract][Full Text] [Related]
6. scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
Zhai Y; Chen L; Deng M
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678389
[TBL] [Abstract][Full Text] [Related]
7. TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Liu Y; Wei G; Li C; Shen LC; Gasser RB; Song J; Chen D; Yu DJ
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37080771
[TBL] [Abstract][Full Text] [Related]
8. scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.
Wang J; Xia J; Wang H; Su Y; Zheng CH
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36631401
[TBL] [Abstract][Full Text] [Related]
9. scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.
Jia S; Lysenko A; Boroevich KA; Sharma A; Tsunoda T
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37523217
[TBL] [Abstract][Full Text] [Related]
10. scTPC: a novel semisupervised deep clustering model for scRNA-seq data.
Qiu Y; Yang L; Jiang H; Zou Q
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38684178
[TBL] [Abstract][Full Text] [Related]
11. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
Wang H; Ma X
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
[TBL] [Abstract][Full Text] [Related]
12. SoCube: an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data.
Zhang H; Lu M; Lin G; Zheng L; Zhang W; Xu Z; Zhu F
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36941114
[TBL] [Abstract][Full Text] [Related]
13. Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning.
Lee J; Kim S; Hyun D; Lee N; Kim Y; Park C
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37233193
[TBL] [Abstract][Full Text] [Related]
14. CL-Impute: A contrastive learning-based imputation for dropout single-cell RNA-seq data.
Shi Y; Wan J; Zhang X; Yin Y
Comput Biol Med; 2023 Sep; 164():107263. PubMed ID: 37531858
[TBL] [Abstract][Full Text] [Related]
15. scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception.
Wan H; Chen L; Deng M
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):939-958. PubMed ID: 36608843
[TBL] [Abstract][Full Text] [Related]
16. Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids.
Wang YM; Sun Y; Wang B; Wu Z; He XY; Zhao Y
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 37991248
[TBL] [Abstract][Full Text] [Related]
17. scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets.
Liu H; Li H; Sharma A; Huang W; Pan D; Gu Y; Lin L; Sun X; Liu H
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37183449
[TBL] [Abstract][Full Text] [Related]
18. CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data.
Xu J; Zhang A; Liu F; Chen L; Zhang X
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37200157
[TBL] [Abstract][Full Text] [Related]
19. Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder.
Jiang J; Xu J; Liu Y; Song B; Guo X; Zeng X; Zou Q
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37088976
[TBL] [Abstract][Full Text] [Related]
20. scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.
Yuan M; Chen L; Deng M
Bioinformatics; 2022 Jan; 38(3):738-745. PubMed ID: 34623390
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]