These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
186 related articles for article (PubMed ID: 38779464)
1. BASiCS workflow: a step-by-step analysis of expression variability using single cell RNA sequencing data. O'Callaghan A; Eling N; Marioni JC; Vallejos CA F1000Res; 2022; 11():59. PubMed ID: 38779464 [TBL] [Abstract][Full Text] [Related]
2. Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing. Kim B; Lee E; Kim JK Methods Mol Biol; 2019; 1935():25-43. PubMed ID: 30758818 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. Andrews TS; Kiselev VY; McCarthy D; Hemberg M Nat Protoc; 2021 Jan; 16(1):1-9. PubMed ID: 33288955 [TBL] [Abstract][Full Text] [Related]
14. Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data. Jia C; Hu Y; Kelly D; Kim J; Li M; Zhang NR Nucleic Acids Res; 2017 Nov; 45(19):10978-10988. PubMed ID: 29036714 [TBL] [Abstract][Full Text] [Related]
15. Single-cell RNA sequencing data imputation using bi-level feature propagation. Lee J; Yun S; Kim Y; Chen T; Kellis M; Park C Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38706317 [TBL] [Abstract][Full Text] [Related]
16. Analysis of Transcriptional Profiling of Immune Cells at the Single-Cell Level. Ferguson A; Chen K Methods Mol Biol; 2020; 2111():47-57. PubMed ID: 31933197 [TBL] [Abstract][Full Text] [Related]
17. RNA Sequencing Experimental Analysis Workflow Using Caenorhabditis elegans. Robledo J; Nahar SR; Ruiz MA; Hendricks RJ; Burks DJ; Ladage ML; Kwon T; Azad RK; Padilla PA Methods Mol Biol; 2024; 2812():115-141. PubMed ID: 39068359 [TBL] [Abstract][Full Text] [Related]
18. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor. Lun AT; McCarthy DJ; Marioni JC F1000Res; 2016; 5():2122. PubMed ID: 27909575 [TBL] [Abstract][Full Text] [Related]
19. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor. Anders S; McCarthy DJ; Chen Y; Okoniewski M; Smyth GK; Huber W; Robinson MD Nat Protoc; 2013 Sep; 8(9):1765-86. PubMed ID: 23975260 [TBL] [Abstract][Full Text] [Related]