211 related articles for article (PubMed ID: 34158507)
1. scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics.
Song Q; Su J; Zhang W
Nat Commun; 2021 Jun; 12(1):3826. PubMed ID: 34158507
[TBL] [Abstract][Full Text] [Related]
2. A robust and scalable graph neural network for accurate single-cell classification.
Zeng Y; Wei Z; Pan Z; Lu Y; Yang Y
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35018408
[TBL] [Abstract][Full Text] [Related]
3. COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data.
Ditz JC; Reuter B; Pfeifer N
Bioinformatics; 2023 Jun; 39(39 Suppl 1):i76-i85. PubMed ID: 37387152
[TBL] [Abstract][Full Text] [Related]
4. scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data.
Sun H; Qu H; Duan K; Du W
Int J Mol Sci; 2024 Feb; 25(4):. PubMed ID: 38396909
[TBL] [Abstract][Full Text] [Related]
5. Architectures and accuracy of artificial neural network for disease classification from omics data.
Yu H; Samuels DC; Zhao YY; Guo Y
BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
[TBL] [Abstract][Full Text] [Related]
6. BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization.
Taverna F; Goveia J; Karakach TK; Khan S; Rohlenova K; Treps L; Subramanian A; Schoonjans L; Dewerchin M; Eelen G; Carmeliet P
Nucleic Acids Res; 2020 Jul; 48(W1):W385-W394. PubMed ID: 32392297
[TBL] [Abstract][Full Text] [Related]
7. Consensus label propagation with graph convolutional networks for single-cell RNA sequencing cell type annotation.
Lewinsohn DP; Vigh-Conrad KA; Conrad DF; Scott CB
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37267208
[TBL] [Abstract][Full Text] [Related]
8. Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network.
Li JY; Jin S; Tu XM; Ding Y; Gao G
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34219140
[TBL] [Abstract][Full Text] [Related]
9. Adversarial dense graph convolutional networks for single-cell classification.
Wang K; Li Z; You ZH; Han P; Nie R
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36661313
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq data.
Gu H; Cheng H; Ma A; Li Y; Wang J; Xu D; Ma Q
Bioinformatics; 2022 Nov; 38(23):5322-5325. PubMed ID: 36250784
[TBL] [Abstract][Full Text] [Related]
13. Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types.
Wu W; Zhang W; Ma X
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35043143
[TBL] [Abstract][Full Text] [Related]
14. Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks.
Cho H; Berger B; Peng J
Cell Syst; 2018 Aug; 7(2):185-191.e4. PubMed ID: 29936184
[TBL] [Abstract][Full Text] [Related]
15. Multi-task learning from multimodal single-cell omics with Matilda.
Liu C; Huang H; Yang P
Nucleic Acids Res; 2023 May; 51(8):e45. PubMed ID: 36912104
[TBL] [Abstract][Full Text] [Related]
16. Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.
Mao G; Pang Z; Zuo K; Wang Q; Pei X; Chen X; Liu J
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37985457
[TBL] [Abstract][Full Text] [Related]
17. A universal framework for single-cell multi-omics data integration with graph convolutional networks.
Gao H; Zhang B; Liu L; Li S; Gao X; Yu B
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36929841
[TBL] [Abstract][Full Text] [Related]
18. cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes.
DePasquale EAK; Schnell D; Dexheimer P; Ferchen K; Hay S; Chetal K; Valiente-Alandí Í; Blaxall BC; Grimes HL; Salomonis N
Nucleic Acids Res; 2019 Dec; 47(21):e138. PubMed ID: 31529053
[TBL] [Abstract][Full Text] [Related]
19. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering.
Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596
[TBL] [Abstract][Full Text] [Related]
20. GNN-based embedding for clustering scRNA-seq data.
Ciortan M; Defrance M
Bioinformatics; 2022 Jan; 38(4):1037-1044. PubMed ID: 34850828
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
