191 related articles for article (PubMed ID: 35391938)
1. Processing single-cell RNA-seq datasets using SingCellaR.
Wang G; Wen WX; Mead AJ; Roy A; Psaila B; Thongjuea S
STAR Protoc; 2022 Jun; 3(2):101266. PubMed ID: 35391938
[TBL] [Abstract][Full Text] [Related]
2. Annotating cell types in human single-cell RNA-seq data with CellO.
Bernstein MN; Dewey CN
STAR Protoc; 2021 Sep; 2(3):100705. PubMed ID: 34458864
[TBL] [Abstract][Full Text] [Related]
3. Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis.
Xi NM; Li JJ
STAR Protoc; 2021 Sep; 2(3):100699. PubMed ID: 34382023
[TBL] [Abstract][Full Text] [Related]
4. scGR-seq: Integrated analysis of glycan and RNA in single cells.
Odaka H; Ozaki H; Tateno H
STAR Protoc; 2022 Mar; 3(1):101179. PubMed ID: 35243371
[TBL] [Abstract][Full Text] [Related]
5. Protocols for single-cell RNA-seq and spatial gene expression integration and interactive visualization.
Sona S; Bradley M; Ting AH
STAR Protoc; 2023 Mar; 4(1):102047. PubMed ID: 36853708
[TBL] [Abstract][Full Text] [Related]
6. A protocol to extract cell-type-specific signatures from differentially expressed genes in bulk-tissue RNA-seq.
Marquez-Galera A; de la Prida LM; Lopez-Atalaya JP
STAR Protoc; 2022 Mar; 3(1):101121. PubMed ID: 35118429
[TBL] [Abstract][Full Text] [Related]
7. scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses.
Wang J; Ma A; Chang Y; Gong J; Jiang Y; Qi R; Wang C; Fu H; Ma Q; Xu D
Nat Commun; 2021 Mar; 12(1):1882. PubMed ID: 33767197
[TBL] [Abstract][Full Text] [Related]
8. Protocol for scChaRM-seq: Simultaneous profiling of gene expression, DNA methylation, and chromatin accessibility in single cells.
Yan R; Cheng X; Guo F
STAR Protoc; 2021 Dec; 2(4):100972. PubMed ID: 34849489
[TBL] [Abstract][Full Text] [Related]
9. Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types.
Arora JK; Opasawatchai A; Teichmann SA; Matangkasombut P; Charoensawan V
STAR Protoc; 2023 Sep; 4(3):102387. PubMed ID: 37379219
[TBL] [Abstract][Full Text] [Related]
10. Processing single-cell RNA-seq data for dimension reduction-based analyses using open-source tools.
Chen B; Ramirez-Solano MA; Heiser CN; Liu Q; Lau KS
STAR Protoc; 2021 Jun; 2(2):100450. PubMed ID: 33982010
[TBL] [Abstract][Full Text] [Related]
11. Collection of cells for single-cell RNA sequencing using high-resolution fluorescence microscopy.
Segeren HA; Andree KC; Oomens L; Westendorp B
STAR Protoc; 2021 Sep; 2(3):100718. PubMed ID: 34401784
[TBL] [Abstract][Full Text] [Related]
12. Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19.
De Domenico E; Bonaguro L; Schulte-Schrepping J; Becker M; Händler K; Schultze JL
STAR Protoc; 2020 Dec; 1(3):100233. PubMed ID: 33377120
[TBL] [Abstract][Full Text] [Related]
13. Computational Analysis of Single-Cell RNA-Seq Data.
Alessandrì L; Cordero F; Beccuti M; Arigoni M; Calogero RA
Methods Mol Biol; 2021; 2284():289-301. PubMed ID: 33835449
[TBL] [Abstract][Full Text] [Related]
14. Use of scREAD to explore and analyze single-cell and single-nucleus RNA-seq data for Alzheimer's disease.
Wang C; Xiang Y; Fu H; Ma Q
STAR Protoc; 2021 Jun; 2(2):100513. PubMed ID: 34013209
[TBL] [Abstract][Full Text] [Related]
15. Pooled CRISPR-activation screening coupled with single-cell RNA-seq in mouse embryonic stem cells.
Alda-Catalinas C; Eckersley-Maslin MA; Reik W
STAR Protoc; 2021 Jun; 2(2):100426. PubMed ID: 33899013
[TBL] [Abstract][Full Text] [Related]
16. Protocol for quantifying stem-cell-derived cardiomyocyte maturity using transcriptomic entropy score.
Chen EZ; Kannan S; Murphy S; Farid M; Kwon C
STAR Protoc; 2024 Jun; 5(2):103083. PubMed ID: 38781077
[TBL] [Abstract][Full Text] [Related]
17. Protocol for the isolation and single-nuclei multiomic analyses of the human fetal epicardium.
Travisano SI; Lien CL
STAR Protoc; 2024 Jun; 5(2):102973. PubMed ID: 38517898
[TBL] [Abstract][Full Text] [Related]
18. Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq.
Biancon G; Busarello E; Joshi P; Lesch BJ; Halene S; Tebaldi T
STAR Protoc; 2022 Dec; 3(4):101823. PubMed ID: 36595959
[TBL] [Abstract][Full Text] [Related]
19. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
Zambelli F; Pavesi G
Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
[TBL] [Abstract][Full Text] [Related]
20. Single-embryo RNA sequencing for continuous and sex-specific gene expression analysis on Drosophila.
Pérez-Mojica JE; Enders L; Lau KH; Lempradl A
STAR Protoc; 2023 Sep; 4(3):102535. PubMed ID: 37682716
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
