334 related articles for article (PubMed ID: 37365211)
21. 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]
22. 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]
23. LINEAGE: Label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis.
Lin L; Zhang Y; Qian W; Liu Y; Zhang Y; Lin F; Liu C; Lu G; Sun D; Guo X; Song Y; Song J; Yang C; Li J
Proc Natl Acad Sci U S A; 2022 Feb; 119(5):. PubMed ID: 35086932
[TBL] [Abstract][Full Text] [Related]
24. REDH: A database of RNA editome in hematopoietic differentiation and malignancy.
Xu J; He J; Yang J; Wang F; Huo Y; Guo Y; Si Y; Gao Y; Wang F; Cheng H; Cheng T; Yu J; Wang X; Ma Y
Chin Med J (Engl); 2024 Feb; 137(3):283-293. PubMed ID: 37386732
[TBL] [Abstract][Full Text] [Related]
25. Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE.
You Y; Prawer YDJ; De Paoli-Iseppi R; Hunt CPJ; Parish CL; Shim H; Clark MB
Genome Biol; 2023 Apr; 24(1):66. PubMed ID: 37024980
[TBL] [Abstract][Full Text] [Related]
26. TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data.
An S; Ma L; Wan L
BMC Genomics; 2019 Apr; 20(Suppl 2):224. PubMed ID: 30967106
[TBL] [Abstract][Full Text] [Related]
27. Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs).
Alamin M; Humaira Sultana M; Babarinde IA; Azad AKM; Moni MA; Xu H
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38739758
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Single-Cell RNA Sequencing for Studying Human Cancers.
Aran D
Annu Rev Biomed Data Sci; 2023 Aug; 6():1-22. PubMed ID: 37040737
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.
Qi Y; Guo Y; Jiao H; Shang X
BMC Bioinformatics; 2020 Jun; 21(1):240. PubMed ID: 32527285
[TBL] [Abstract][Full Text] [Related]
32. Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC.
Abugessaisa I; Hasegawa A; Katayama S; Kere J; Kasukawa T
STAR Protoc; 2023 Mar; 4(1):102038. PubMed ID: 36853658
[TBL] [Abstract][Full Text] [Related]
33. Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data.
Chen S; Yan X; Zheng R; Li M
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36567258
[TBL] [Abstract][Full Text] [Related]
34. scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Wang J; Xia J; Tan D; Lin R; Su Y; Zheng CH
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136924
[TBL] [Abstract][Full Text] [Related]
35. Usage of Single-Cell RNA Sequencing to Unveil Immune Lymphoid Cell Precursors.
Yu Y; Liu P
Methods Mol Biol; 2019; 1884():73-86. PubMed ID: 30465196
[TBL] [Abstract][Full Text] [Related]
36. In-vivo differentiation of adult hematopoietic stem cells from a single-cell point of view.
Nazaraliyev A; Richard E; Sawai CM
Curr Opin Hematol; 2020 Jul; 27(4):241-247. PubMed ID: 32398457
[TBL] [Abstract][Full Text] [Related]
37. Single-Cell RNA-Seq Technologies and Computational Analysis Tools: Application in Cancer Research.
Song Q; Liu L
Methods Mol Biol; 2022; 2413():245-255. PubMed ID: 35044670
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Data Analysis Pipeline for scRNA-seq Experiments to Study Early Oogenesis.
Ge W; Zhang T; Zhou Y; Shen W
Methods Mol Biol; 2024; 2770():203-225. PubMed ID: 38351456
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
