233 related articles for article (PubMed ID: 31907464)
1. Single-cell biology: beyond the sum of its parts.
Schier AF
Nat Methods; 2020 Jan; 17(1):17-20. PubMed ID: 31907464
[No Abstract] [Full Text] [Related]
2. Computational methods for single-cell omics across modalities.
Efremova M; Teichmann SA
Nat Methods; 2020 Jan; 17(1):14-17. PubMed ID: 31907463
[No Abstract] [Full Text] [Related]
3. Single-cell multimodal omics: the power of many.
Zhu C; Preissl S; Ren B
Nat Methods; 2020 Jan; 17(1):11-14. PubMed ID: 31907462
[No Abstract] [Full Text] [Related]
4. Method of the Year 2019: Single-cell multimodal omics.
Nat Methods; 2020 Jan; 17(1):1. PubMed ID: 31907477
[No Abstract] [Full Text] [Related]
5. Spatially resolved single-cell genomics and transcriptomics by imaging.
Zhuang X
Nat Methods; 2021 Jan; 18(1):18-22. PubMed ID: 33408406
[TBL] [Abstract][Full Text] [Related]
6. Single-cell transcriptomic analysis reveals dynamic alternative splicing and gene regulatory networks among pancreatic islets.
Li Y; Chen J; Xu Q; Han Z; Tan F; Shi T; Chen G
Sci China Life Sci; 2021 Jan; 64(1):174-176. PubMed ID: 32572807
[No Abstract] [Full Text] [Related]
7. LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering.
Specht AT; Li J
Bioinformatics; 2017 Mar; 33(5):764-766. PubMed ID: 27993778
[TBL] [Abstract][Full Text] [Related]
8. A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data.
Sanchez-Castillo M; Blanco D; Tienda-Luna IM; Carrion MC; Huang Y
Bioinformatics; 2018 Mar; 34(6):964-970. PubMed ID: 29028984
[TBL] [Abstract][Full Text] [Related]
9. Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Olsson A; Venkatasubramanian M; Chaudhri VK; Aronow BJ; Salomonis N; Singh H; Grimes HL
Nature; 2016 Sep; 537(7622):698-702. PubMed ID: 27580035
[TBL] [Abstract][Full Text] [Related]
10. The technology and biology of single-cell RNA sequencing.
Kolodziejczyk AA; Kim JK; Svensson V; Marioni JC; Teichmann SA
Mol Cell; 2015 May; 58(4):610-20. PubMed ID: 26000846
[TBL] [Abstract][Full Text] [Related]
11. Processing, visualising and reconstructing network models from single-cell data.
Woodhouse S; Moignard V; Göttgens B; Fisher J
Immunol Cell Biol; 2016 Mar; 94(3):256-65. PubMed ID: 26577213
[TBL] [Abstract][Full Text] [Related]
12. Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations.
van den Brink SC; Sage F; Vértesy Á; Spanjaard B; Peterson-Maduro J; Baron CS; Robin C; van Oudenaarden A
Nat Methods; 2017 Sep; 14(10):935-936. PubMed ID: 28960196
[No Abstract] [Full Text] [Related]
13. Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data.
Lamere AT; Li J
Methods Mol Biol; 2019; 1935():141-153. PubMed ID: 30758825
[TBL] [Abstract][Full Text] [Related]
14. Development and applications of single-cell transcriptome analysis.
Tang F; Lao K; Surani MA
Nat Methods; 2011 Apr; 8(4 Suppl):S6-11. PubMed ID: 21451510
[TBL] [Abstract][Full Text] [Related]
15. The secret life of cells.
Eisenstein M
Nat Methods; 2020 Jan; 17(1):7-10. PubMed ID: 31907479
[No Abstract] [Full Text] [Related]
16. Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions.
Chan TE; Stumpf MPH; Babtie AC
Methods Mol Biol; 2019; 1975():211-238. PubMed ID: 31062312
[TBL] [Abstract][Full Text] [Related]
17. Understanding development and stem cells using single cell-based analyses of gene expression.
Kumar P; Tan Y; Cahan P
Development; 2017 Jan; 144(1):17-32. PubMed ID: 28049689
[TBL] [Abstract][Full Text] [Related]
18. Using Single-Cell and Spatial Transcriptomes to Understand Stem Cell Lineage Specification During Early Embryo Development.
Peng G; Cui G; Ke J; Jing N
Annu Rev Genomics Hum Genet; 2020 Aug; 21():163-181. PubMed ID: 32339035
[TBL] [Abstract][Full Text] [Related]
19. Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures.
Chan TE; Stumpf MPH; Babtie AC
Cell Syst; 2017 Sep; 5(3):251-267.e3. PubMed ID: 28957658
[TBL] [Abstract][Full Text] [Related]
20. Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.
Moignard V; Göttgens B
Bioessays; 2014 Apr; 36(4):419-26. PubMed ID: 24470343
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
