561 related articles for article (PubMed ID: 37566049)
1. A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell-Cell Communication.
Cheng C; Chen W; Jin H; Chen X
Cells; 2023 Jul; 12(15):. PubMed ID: 37566049
[TBL] [Abstract][Full Text] [Related]
2. Computational solutions for spatial transcriptomics.
Kleino I; Frolovaitė P; Suomi T; Elo LL
Comput Struct Biotechnol J; 2022; 20():4870-4884. PubMed ID: 36147664
[TBL] [Abstract][Full Text] [Related]
3. Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.
Bridges K; Miller-Jensen K
Front Immunol; 2022; 13():885267. PubMed ID: 35572582
[TBL] [Abstract][Full Text] [Related]
4. LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity.
Xie J; Jeon H; Xin G; Ma Q; Chung D
PLoS Comput Biol; 2023 Jul; 19(7):e1011300. PubMed ID: 37428794
[TBL] [Abstract][Full Text] [Related]
5. Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review.
Tan JK; Awuah WA; Roy S; Ferreira T; Ahluwalia A; Guggilapu S; Javed M; Asyura MMAZ; Adebusoye FT; Ramamoorthy K; Paoletti E; Abdul-Rahman T; Prykhodko O; Ovechkin D
Med Oncol; 2023 Dec; 41(1):27. PubMed ID: 38129369
[TBL] [Abstract][Full Text] [Related]
6. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
[TBL] [Abstract][Full Text] [Related]
7. Single-Cell RNA Sequencing (scRNA-seq) in Cardiac Tissue: Applications and Limitations.
Wang M; Gu M; Liu L; Liu Y; Tian L
Vasc Health Risk Manag; 2021; 17():641-657. PubMed ID: 34629873
[TBL] [Abstract][Full Text] [Related]
8. Large-Scale Integration of Single-Cell RNA-Seq Data Reveals Astrocyte Diversity and Transcriptomic Modules across Six Central Nervous System Disorders.
Qian Z; Qin J; Lai Y; Zhang C; Zhang X
Biomolecules; 2023 Apr; 13(4):. PubMed ID: 37189441
[TBL] [Abstract][Full Text] [Related]
9. Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics.
Shen X; Zhao Y; Wang Z; Shi Q
Lab Chip; 2022 Dec; 22(24):4774-4791. PubMed ID: 36254761
[TBL] [Abstract][Full Text] [Related]
10. Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology.
Islam MT; Liu Y; Hassan MM; Abraham PE; Merlet J; Townsend A; Jacobson D; Buell CR; Tuskan GA; Yang X
Biodes Res; 2024; 6():0029. PubMed ID: 38435807
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. scGAC: a graph attentional architecture for clustering single-cell RNA-seq data.
Cheng Y; Ma X
Bioinformatics; 2022 Apr; 38(8):2187-2193. PubMed ID: 35176138
[TBL] [Abstract][Full Text] [Related]
15. Adjustment of scRNA-seq data to improve cell-type decomposition of spatial transcriptomics.
Wang L; Hu Y; Gao L
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38426323
[TBL] [Abstract][Full Text] [Related]
16. scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention.
Meng R; Yin S; Sun J; Hu H; Zhao Q
Comput Biol Med; 2023 Oct; 165():107414. PubMed ID: 37660567
[TBL] [Abstract][Full Text] [Related]
17. Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing.
Gupta RK; Kuznicki J
Cells; 2020 Jul; 9(8):. PubMed ID: 32707839
[TBL] [Abstract][Full Text] [Related]
18. Exploring Additional Valuable Information From Single-Cell RNA-Seq Data.
Li Y; Xu Q; Wu D; Chen G
Front Cell Dev Biol; 2020; 8():593007. PubMed ID: 33335900
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data.
Lee MYY; Kaestner KH; Li M
Genome Biol; 2023 Oct; 24(1):244. PubMed ID: 37875977
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
