These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
336 related articles for article (PubMed ID: 34301623)
21. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Huang Z; Wang J; Lu X; Mohd Zain A; Yu G Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262 [TBL] [Abstract][Full Text] [Related]
22. Debiased personalized gene coexpression networks for population-scale scRNA-seq data. Lu S; Keleş S Genome Res; 2023 Jun; 33(6):932-947. PubMed ID: 37295843 [TBL] [Abstract][Full Text] [Related]
23. A neural network-based method for exhaustive cell label assignment using single cell RNA-seq data. Li Z; Feng H Sci Rep; 2022 Jan; 12(1):910. PubMed ID: 35042860 [TBL] [Abstract][Full Text] [Related]
24. Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits. Bawa G; Liu Z; Yu X; Qin A; Sun X Int J Mol Sci; 2022 Apr; 23(9):. PubMed ID: 35562888 [TBL] [Abstract][Full Text] [Related]
25. Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data. Mao G; Pang Z; Zuo K; Liu J J Comput Biol; 2023 May; 30(5):619-631. PubMed ID: 36877552 [TBL] [Abstract][Full Text] [Related]
26. A novel graph-based k-partitioning approach improves the detection of gene-gene correlations by single-cell RNA sequencing. Xu H; Hu Y; Zhang X; Aouizerat BE; Yan C; Xu K BMC Genomics; 2022 Jan; 23(1):35. PubMed ID: 34996359 [TBL] [Abstract][Full Text] [Related]
27. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples. Zambelli F; Pavesi G Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439 [TBL] [Abstract][Full Text] [Related]
28. Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network. Yang W; Wang P; Xu S; Wang T; Luo M; Cai Y; Xu C; Xue G; Que J; Ding Q; Jin X; Yang Y; Pang F; Pang B; Lin Y; Nie H; Xu Z; Ji Y; Jiang Q Nat Commun; 2024 Aug; 15(1):7101. PubMed ID: 39155292 [TBL] [Abstract][Full Text] [Related]
29. MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features. Zhu M; Li C; Lv K; Guo H; Hou R; Tian G; Yang J Comput Biol Med; 2023 Jun; 159():106873. PubMed ID: 37105115 [TBL] [Abstract][Full Text] [Related]
30. Detection of high variability in gene expression from single-cell RNA-seq profiling. Chen HI; Jin Y; Huang Y; Chen Y BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924 [TBL] [Abstract][Full Text] [Related]
31. Modelling capture efficiency of single-cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics. Tang W; Jørgensen ACS; Marguerat S; Thomas P; Shahrezaei V Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37354494 [TBL] [Abstract][Full Text] [Related]
32. 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]
33. MuSiC2: cell-type deconvolution for multi-condition bulk RNA-seq data. Fan J; Lyu Y; Zhang Q; Wang X; Li M; Xiao R Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36208175 [TBL] [Abstract][Full Text] [Related]
34. Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia. Wang R; Zheng X; Wang J; Wan S; Song F; Wong MH; Leung KS; Cheng L Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136933 [TBL] [Abstract][Full Text] [Related]
35. Integration tools for scRNA-seq data and spatial transcriptomics sequencing data. Yan C; Zhu Y; Chen M; Yang K; Cui F; Zou Q; Zhang Z Brief Funct Genomics; 2024 Jul; 23(4):295-302. PubMed ID: 38267084 [TBL] [Abstract][Full Text] [Related]
36. Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry. Zhang Q; Jiang S; Schroeder A; Hu J; Li K; Zhang B; Dai D; Lee EB; Xiao R; Li M Nat Commun; 2023 Jul; 14(1):4050. PubMed ID: 37422469 [TBL] [Abstract][Full Text] [Related]
37. 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]
38. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq. Arsenio J Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214 [TBL] [Abstract][Full Text] [Related]
39. Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data. Xu J; Xu J; Meng Y; Lu C; Cai L; Zeng X; Nussinov R; Cheng F Cell Rep Methods; 2023 Jan; 3(1):100382. PubMed ID: 36814845 [TBL] [Abstract][Full Text] [Related]
40. Detection of cell markers from single cell RNA-seq with sc2marker. Li R; Banjanin B; Schneider RK; Costa IG BMC Bioinformatics; 2022 Jul; 23(1):276. PubMed ID: 35831796 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]