344 related articles for article (PubMed ID: 31332193)
1. Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells.
Bossel Ben-Moshe N; Hen-Avivi S; Levitin N; Yehezkel D; Oosting M; Joosten LAB; Netea MG; Avraham R
Nat Commun; 2019 Jul; 10(1):3266. PubMed ID: 31332193
[TBL] [Abstract][Full Text] [Related]
2. Cell lineage inference from SNP and scRNA-Seq data.
Ding J; Lin C; Bar-Joseph Z
Nucleic Acids Res; 2019 Jun; 47(10):e56. PubMed ID: 30820578
[TBL] [Abstract][Full Text] [Related]
3. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
4. Improved Bacterial Single-Cell RNA-Seq through Automated MATQ-Seq and Cas9-Based Removal of rRNA Reads.
Homberger C; Hayward RJ; Barquist L; Vogel J
mBio; 2023 Apr; 14(2):e0355722. PubMed ID: 36880749
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
[TBL] [Abstract][Full Text] [Related]
7. Dissecting Human Blood Immune Cells Response to Intracellular Infection Using Single-Cell RNA Sequencing.
Hen-Avivi S; Avraham R
Methods Mol Biol; 2022; 2427():133-147. PubMed ID: 35619031
[TBL] [Abstract][Full Text] [Related]
8. Host-Pathogen Transcriptomics by Dual RNA-Seq.
Westermann AJ; Vogel J
Methods Mol Biol; 2018; 1737():59-75. PubMed ID: 29484587
[TBL] [Abstract][Full Text] [Related]
9. Deterministic column subset selection for single-cell RNA-Seq.
McCurdy SR; Ntranos V; Pachter L
PLoS One; 2019; 14(1):e0210571. PubMed ID: 30682053
[TBL] [Abstract][Full Text] [Related]
10. Estimation of immune cell content in tumour tissue using single-cell RNA-seq data.
Schelker M; Feau S; Du J; Ranu N; Klipp E; MacBeath G; Schoeberl B; Raue A
Nat Commun; 2017 Dec; 8(1):2032. PubMed ID: 29230012
[TBL] [Abstract][Full Text] [Related]
11. A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data.
Yu T
PLoS Comput Biol; 2018 Aug; 14(8):e1006391. PubMed ID: 30080856
[TBL] [Abstract][Full Text] [Related]
12. Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters.
Domanskyi S; Szedlak A; Hawkins NT; Wang J; Paternostro G; Piermarocchi C
BMC Bioinformatics; 2019 Jul; 20(1):369. PubMed ID: 31262249
[TBL] [Abstract][Full Text] [Related]
13. Quality Control of Single-Cell RNA-seq.
Jiang P
Methods Mol Biol; 2019; 1935():1-9. PubMed ID: 30758816
[TBL] [Abstract][Full Text] [Related]
14. Bias, robustness and scalability in single-cell differential expression analysis.
Soneson C; Robinson MD
Nat Methods; 2018 Apr; 15(4):255-261. PubMed ID: 29481549
[TBL] [Abstract][Full Text] [Related]
15. Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.
Shi J; Li T; Chen L; Aihara K
PLoS Comput Biol; 2019 Nov; 15(11):e1007488. PubMed ID: 31721764
[TBL] [Abstract][Full Text] [Related]
16. Dissecting the human immune system with single cell RNA sequencing technology.
Xu G; Liu Y; Li H; Liu L; Zhang S; Zhang Z
J Leukoc Biol; 2020 Apr; 107(4):613-623. PubMed ID: 31803960
[TBL] [Abstract][Full Text] [Related]
17. Immune cell type 'fingerprints' at the basis of outcome diversity of human infection.
Hen-Avivi S; Avraham R
Curr Opin Microbiol; 2018 Apr; 42():31-39. PubMed ID: 29049916
[TBL] [Abstract][Full Text] [Related]
18. Single-cell mRNA quantification and differential analysis with Census.
Qiu X; Hill A; Packer J; Lin D; Ma YA; Trapnell C
Nat Methods; 2017 Mar; 14(3):309-315. PubMed ID: 28114287
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. SAVER: gene expression recovery for single-cell RNA sequencing.
Huang M; Wang J; Torre E; Dueck H; Shaffer S; Bonasio R; Murray JI; Raj A; Li M; Zhang NR
Nat Methods; 2018 Jul; 15(7):539-542. PubMed ID: 29941873
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]