164 related articles for article (PubMed ID: 38030970)
1. FastCAR: fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets.
Berg M; Petoukhov I; van den Ende I; Meyer KB; Guryev V; Vonk JM; Carpaij O; Banchero M; Hendriks RW; van den Berge M; Nawijn MC
BMC Genomics; 2023 Nov; 24(1):722. PubMed ID: 38030970
[TBL] [Abstract][Full Text] [Related]
2. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data.
Young MD; Behjati S
Gigascience; 2020 Dec; 9(12):. PubMed ID: 33367645
[TBL] [Abstract][Full Text] [Related]
3. The effect of background noise and its removal on the analysis of single-cell expression data.
Janssen P; Kliesmete Z; Vieth B; Adiconis X; Simmons S; Marshall J; McCabe C; Heyn H; Levin JZ; Enard W; Hellmann I
Genome Biol; 2023 Jun; 24(1):140. PubMed ID: 37337297
[TBL] [Abstract][Full Text] [Related]
4. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
[TBL] [Abstract][Full Text] [Related]
5. DropletQC: improved identification of empty droplets and damaged cells in single-cell RNA-seq data.
Muskovic W; Powell JE
Genome Biol; 2021 Dec; 22(1):329. PubMed ID: 34857027
[TBL] [Abstract][Full Text] [Related]
6. scCDC: a computational method for gene-specific contamination detection and correction in single-cell and single-nucleus RNA-seq data.
Wang W; Cen Y; Lu Z; Xu Y; Sun T; Xiao Y; Liu W; Li JJ; Wang C
Genome Biol; 2024 May; 25(1):136. PubMed ID: 38783325
[TBL] [Abstract][Full Text] [Related]
7. IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis.
Monier B; McDermaid A; Wang C; Zhao J; Miller A; Fennell A; Ma Q
PLoS Comput Biol; 2019 Feb; 15(2):e1006792. PubMed ID: 30763315
[TBL] [Abstract][Full Text] [Related]
8. No detectable alloreactive transcriptional responses under standard sample preparation conditions during donor-multiplexed single-cell RNA sequencing of peripheral blood mononuclear cells.
McGinnis CS; Siegel DA; Xie G; Hartoularos G; Stone M; Ye CJ; Gartner ZJ; Roan NR; Lee SA
BMC Biol; 2021 Jan; 19(1):10. PubMed ID: 33472616
[TBL] [Abstract][Full Text] [Related]
9. Decontamination of ambient RNA in single-cell RNA-seq with DecontX.
Yang S; Corbett SE; Koga Y; Wang Z; Johnson WE; Yajima M; Campbell JD
Genome Biol; 2020 Mar; 21(1):57. PubMed ID: 32138770
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. Single-cell transcriptome analysis of Physcomitrella leaf cells during reprogramming using microcapillary manipulation.
Kubo M; Nishiyama T; Tamada Y; Sano R; Ishikawa M; Murata T; Imai A; Lang D; Demura T; Reski R; Hasebe M
Nucleic Acids Res; 2019 May; 47(9):4539-4553. PubMed ID: 30873540
[TBL] [Abstract][Full Text] [Related]
14. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender.
Fleming SJ; Chaffin MD; Arduini A; Akkad AD; Banks E; Marioni JC; Philippakis AA; Ellinor PT; Babadi M
Nat Methods; 2023 Sep; 20(9):1323-1335. PubMed ID: 37550580
[TBL] [Abstract][Full Text] [Related]
16. Advantages of Single-Nucleus over Single-Cell RNA Sequencing of Adult Kidney: Rare Cell Types and Novel Cell States Revealed in Fibrosis.
Wu H; Kirita Y; Donnelly EL; Humphreys BD
J Am Soc Nephrol; 2019 Jan; 30(1):23-32. PubMed ID: 30510133
[TBL] [Abstract][Full Text] [Related]
17. Full-Length Single-Cell RNA-Sequencing with FLASH-seq.
Hahaut V; Picelli S
Methods Mol Biol; 2023; 2584():123-164. PubMed ID: 36495447
[TBL] [Abstract][Full Text] [Related]
18. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
F1000Res; 2018; 7():1306. PubMed ID: 31316748
[TBL] [Abstract][Full Text] [Related]
19. An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation.
Yang Q; Xu Z; Zhou W; Wang P; Jiang Q; Juan L
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37225419
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
