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.
316 related articles for article (PubMed ID: 38711017)
1. Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets. Cuevas-Diaz Duran R; Wei H; Wu J BMC Genomics; 2024 May; 25(1):444. PubMed ID: 38711017 [TBL] [Abstract][Full Text] [Related]
2. Normalization of Single-Cell RNA-Seq Data. Risso D Methods Mol Biol; 2021; 2284():303-329. PubMed ID: 33835450 [TBL] [Abstract][Full Text] [Related]
3. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies. Das S; Rai A; Merchant ML; Cave MC; Rai SN Genes (Basel); 2021 Dec; 12(12):. PubMed ID: 34946896 [TBL] [Abstract][Full Text] [Related]
5. Benchmarking Algorithms for Gene Set Scoring of Single-cell ATAC-seq Data. Wang X; Lian Q; Dong H; Xu S; Su Y; Wu X Genomics Proteomics Bioinformatics; 2024 Jul; 22(2):. PubMed ID: 39049508 [TBL] [Abstract][Full Text] [Related]
6. A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples. Chen W; Zhao Y; Chen X; Yang Z; Xu X; Bi Y; Chen V; Li J; Choi H; Ernest B; Tran B; Mehta M; Kumar P; Farmer A; Mir A; Mehra UA; Li JL; Moos M; Xiao W; Wang C Nat Biotechnol; 2021 Sep; 39(9):1103-1114. PubMed ID: 33349700 [TBL] [Abstract][Full Text] [Related]
7. Machine learning and statistical methods for clustering single-cell RNA-sequencing data. Petegrosso R; Li Z; Kuang R Brief Bioinform; 2020 Jul; 21(4):1209-1223. PubMed ID: 31243426 [TBL] [Abstract][Full Text] [Related]
8. Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysis. Flores M; Liu Z; Zhang T; Hasib MM; Chiu YC; Ye Z; Paniagua K; Jo S; Zhang J; Gao SJ; Jin YF; Chen Y; Huang Y Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34929734 [TBL] [Abstract][Full Text] [Related]
9. bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data. Tang W; Bertaux F; Thomas P; Stefanelli C; Saint M; Marguerat S; Shahrezaei V Bioinformatics; 2020 Feb; 36(4):1174-1181. PubMed ID: 31584606 [TBL] [Abstract][Full Text] [Related]
10. Data Analysis in Single-Cell Transcriptome Sequencing. Gao S Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451 [TBL] [Abstract][Full Text] [Related]
11. On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data. Ng GYL; Tan SC; Ong CS PLoS One; 2023; 18(10):e0292961. PubMed ID: 37856458 [TBL] [Abstract][Full Text] [Related]
12. scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery. Liu W; Pan Y; Teng Z; Xu J IEEE J Biomed Health Inform; 2024 Jun; 28(6):3772-3780. PubMed ID: 38568766 [TBL] [Abstract][Full Text] [Related]
13. Clustering and classification methods for single-cell RNA-sequencing data. Qi R; Ma A; Ma Q; Zou Q Brief Bioinform; 2020 Jul; 21(4):1196-1208. PubMed ID: 31271412 [TBL] [Abstract][Full Text] [Related]
14. Latent cellular analysis robustly reveals subtle diversity in large-scale single-cell RNA-seq data. Cheng C; Easton J; Rosencrance C; Li Y; Ju B; Williams J; Mulder HL; Pang Y; Chen W; Chen X Nucleic Acids Res; 2019 Dec; 47(22):e143. PubMed ID: 31566233 [TBL] [Abstract][Full Text] [Related]
16. One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data. Wang CX; Zhang L; Wang B Genome Biol; 2022 Apr; 23(1):102. PubMed ID: 35443717 [TBL] [Abstract][Full Text] [Related]
17. Enhancing biological signals and detection rates in single-cell RNA-seq experiments with cDNA library equalization. Bacher R; Chu LF; Argus C; Bolin JM; Knight P; Thomson JA; Stewart R; Kendziorski C Nucleic Acids Res; 2022 Jan; 50(2):e12. PubMed ID: 34850101 [TBL] [Abstract][Full Text] [Related]
18. scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data. Ye W; Ji G; Ye P; Long Y; Xiao X; Li S; Su Y; Wu X BMC Genomics; 2019 May; 20(1):347. PubMed ID: 31068142 [TBL] [Abstract][Full Text] [Related]