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.
136 related articles for article (PubMed ID: 32871159)
21. Application of single-cell RNA sequencing on human skin: Technical evolution and challenges. Kim D; Chung KB; Kim TG J Dermatol Sci; 2020 Aug; 99(2):74-81. PubMed ID: 32593488 [TBL] [Abstract][Full Text] [Related]
22. New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data. Shao X; Lu X; Liao J; Chen H; Fan X Protein Cell; 2020 Dec; 11(12):866-880. PubMed ID: 32435978 [TBL] [Abstract][Full Text] [Related]
23. A hitchhiker's guide to single-cell transcriptomics and data analysis pipelines. Nayak R; Hasija Y Genomics; 2021 Mar; 113(2):606-619. PubMed ID: 33485955 [TBL] [Abstract][Full Text] [Related]
24. Computational approaches for interpreting scRNA-seq data. Rostom R; Svensson V; Teichmann SA; Kar G FEBS Lett; 2017 Aug; 591(15):2213-2225. PubMed ID: 28524227 [TBL] [Abstract][Full Text] [Related]
25. Inference of differentiation time for single cell transcriptomes using cell population reference data. Sun N; Yu X; Li F; Liu D; Suo S; Chen W; Chen S; Song L; Green CD; McDermott J; Shen Q; Jing N; Han JJ Nat Commun; 2017 Nov; 8(1):1856. PubMed ID: 29187729 [TBL] [Abstract][Full Text] [Related]
26. WASP: a versatile, web-accessible single cell RNA-Seq processing platform. Hoek A; Maibach K; Özmen E; Vazquez-Armendariz AI; Mengel JP; Hain T; Herold S; Goesmann A BMC Genomics; 2021 Mar; 22(1):195. PubMed ID: 33736596 [TBL] [Abstract][Full Text] [Related]
27. In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells. Kim T; Echeagaray OH; Wang BJ; Casillas A; Broughton KM; Kim BH; Sussman MA Sci Rep; 2018 Aug; 8(1):12060. PubMed ID: 30104715 [TBL] [Abstract][Full Text] [Related]
28. Detection of high variability in gene expression from single-cell RNA-seq profiling. Chen HI; Jin Y; Huang Y; Chen Y BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924 [TBL] [Abstract][Full Text] [Related]
29. Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments. Tian L; Dong X; Freytag S; Lê Cao KA; Su S; JalalAbadi A; Amann-Zalcenstein D; Weber TS; Seidi A; Jabbari JS; Naik SH; Ritchie ME Nat Methods; 2019 Jun; 16(6):479-487. PubMed ID: 31133762 [TBL] [Abstract][Full Text] [Related]
30. 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]
32. Design and computational analysis of single-cell RNA-sequencing experiments. Bacher R; Kendziorski C Genome Biol; 2016 Apr; 17():63. PubMed ID: 27052890 [TBL] [Abstract][Full Text] [Related]
33. Computational analysis of alternative polyadenylation from standard RNA-seq and single-cell RNA-seq data. Gao Y; Li W Methods Enzymol; 2021; 655():225-243. PubMed ID: 34183123 [TBL] [Abstract][Full Text] [Related]
34. 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]
36. Single-Cell RNA Sequencing and Its Combination with Protein and DNA Analyses. Choi JR; Yong KW; Choi JY; Cowie AC Cells; 2020 May; 9(5):. PubMed ID: 32375335 [TBL] [Abstract][Full Text] [Related]
37. Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration. Wang W; Tan H; Sun M; Han Y; Chen W; Qiu S; Zheng K; Wei G; Ni T Nucleic Acids Res; 2021 May; 49(9):e54. PubMed ID: 33619563 [TBL] [Abstract][Full Text] [Related]