857 related articles for article (PubMed ID: 30617341)
21. Single-Cell Transcriptome Analysis of T Cells.
Van Der Byl W; Rizzetto S; Samir J; Cai C; Eltahla AA; Luciani F
Methods Mol Biol; 2019; 2048():155-205. PubMed ID: 31396939
[TBL] [Abstract][Full Text] [Related]
22. Consensus clustering of single-cell RNA-seq data by enhancing network affinity.
Cui Y; Zhang S; Liang Y; Wang X; Ferraro TN; Chen Y
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34160582
[TBL] [Abstract][Full Text] [Related]
23. Visualization of Single Cell RNA-Seq Data Using t-SNE in R.
Zhou B; Jin W
Methods Mol Biol; 2020; 2117():159-167. PubMed ID: 31960377
[TBL] [Abstract][Full Text] [Related]
24. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies.
Sun Z; Chen L; Xin H; Jiang Y; Huang Q; Cillo AR; Tabib T; Kolls JK; Bruno TC; Lafyatis R; Vignali DAA; Chen K; Ding Y; Hu M; Chen W
Nat Commun; 2019 Apr; 10(1):1649. PubMed ID: 30967541
[TBL] [Abstract][Full Text] [Related]
25. Elucidating the cellular dynamics of the brain with single-cell RNA sequencing.
Cardona-Alberich A; Tourbez M; Pearce SF; Sibley CR
RNA Biol; 2021 Jul; 18(7):1063-1084. PubMed ID: 33499699
[TBL] [Abstract][Full Text] [Related]
26. Lineage Inference and Stem Cell Identity Prediction Using Single-Cell RNA-Sequencing Data.
Sagar ; Grün D
Methods Mol Biol; 2019; 1975():277-301. PubMed ID: 31062315
[TBL] [Abstract][Full Text] [Related]
27. Computational approaches for high-throughput single-cell data analysis.
Todorov H; Saeys Y
FEBS J; 2019 Apr; 286(8):1451-1467. PubMed ID: 30058136
[TBL] [Abstract][Full Text] [Related]
28. High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications.
Huang X; Liu S; Wu L; Jiang M; Hou Y
Adv Exp Med Biol; 2018; 1068():33-43. PubMed ID: 29943294
[TBL] [Abstract][Full Text] [Related]
29. Enabling reproducible re-analysis of single-cell data.
Skinnider MA; Squair JW; Courtine G
Genome Biol; 2021 Jul; 22(1):215. PubMed ID: 34311752
[No Abstract] [Full Text] [Related]
30. 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]
31. Effects of Sample Size on Plant Single-Cell RNA Profiling.
Chen H; Lv Y; Yin X; Chen X; Chu Q; Zhu QH; Fan L; Guo L
Curr Issues Mol Biol; 2021 Oct; 43(3):1685-1697. PubMed ID: 34698115
[TBL] [Abstract][Full Text] [Related]
32. Detection of differentially abundant cell subpopulations in scRNA-seq data.
Zhao J; Jaffe A; Li H; Lindenbaum O; Sefik E; Jackson R; Cheng X; Flavell RA; Kluger Y
Proc Natl Acad Sci U S A; 2021 Jun; 118(22):. PubMed ID: 34001664
[TBL] [Abstract][Full Text] [Related]
33. Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries.
Riemondy KA; Ransom M; Alderman C; Gillen AE; Fu R; Finlay-Schultz J; Kirkpatrick GD; Di Paola J; Kabos P; Sartorius CA; Hesselberth JR
Nucleic Acids Res; 2019 Feb; 47(4):e20. PubMed ID: 30496484
[TBL] [Abstract][Full Text] [Related]
34. Investigating Cell Fate Decisions with ICGS Analysis of Single Cells.
Salomonis N
Methods Mol Biol; 2019; 1975():251-275. PubMed ID: 31062314
[TBL] [Abstract][Full Text] [Related]
35. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
Gan Y; Huang X; Zou G; Zhou S; Guan J
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
[TBL] [Abstract][Full Text] [Related]
36. SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.
Guo M; Wang H; Potter SS; Whitsett JA; Xu Y
PLoS Comput Biol; 2015 Nov; 11(11):e1004575. PubMed ID: 26600239
[TBL] [Abstract][Full Text] [Related]
37. A general and flexible method for signal extraction from single-cell RNA-seq data.
Risso D; Perraudeau F; Gribkova S; Dudoit S; Vert JP
Nat Commun; 2018 Jan; 9(1):284. PubMed ID: 29348443
[TBL] [Abstract][Full Text] [Related]
38. Computational methods for transcriptome annotation and quantification using RNA-seq.
Garber M; Grabherr MG; Guttman M; Trapnell C
Nat Methods; 2011 Jun; 8(6):469-77. PubMed ID: 21623353
[TBL] [Abstract][Full Text] [Related]
39. CellBIC: bimodality-based top-down clustering of single-cell RNA sequencing data reveals hierarchical structure of the cell type.
Kim J; Stanescu DE; Won KJ
Nucleic Acids Res; 2018 Nov; 46(21):e124. PubMed ID: 30102368
[TBL] [Abstract][Full Text] [Related]
40. DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data.
Zeng W; Chen X; Duren Z; Wang Y; Jiang R; Wong WH
Nat Commun; 2019 Oct; 10(1):4613. PubMed ID: 31601804
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
