707 related articles for article (PubMed ID: 34927917)
1. Single-Cell Sequencing Methodologies: From Transcriptome to Multi-Dimensional Measurement.
Chen Y; Song J; Ruan Q; Zeng X; Wu L; Cai L; Wang X; Yang C
Small Methods; 2021 Jun; 5(6):e2100111. PubMed ID: 34927917
[TBL] [Abstract][Full Text] [Related]
2. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
3. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
[TBL] [Abstract][Full Text] [Related]
4. The promise of single-cell RNA sequencing for kidney disease investigation.
Wu H; Humphreys BD
Kidney Int; 2017 Dec; 92(6):1334-1342. PubMed ID: 28893418
[TBL] [Abstract][Full Text] [Related]
5. Single-Cell Transcriptome Profiling.
Shapira G; Shomron N
Methods Mol Biol; 2021; 2243():311-325. PubMed ID: 33606265
[TBL] [Abstract][Full Text] [Related]
6. Breathing fresh air into respiratory research with single-cell RNA sequencing.
Alexander MJ; Budinger GRS; Reyfman PA
Eur Respir Rev; 2020 Jun; 29(156):. PubMed ID: 32620586
[TBL] [Abstract][Full Text] [Related]
7. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.
Arsenio J
Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214
[TBL] [Abstract][Full Text] [Related]
8. Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits.
Bawa G; Liu Z; Yu X; Qin A; Sun X
Int J Mol Sci; 2022 Apr; 23(9):. PubMed ID: 35562888
[TBL] [Abstract][Full Text] [Related]
9. A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level.
Mair F; Erickson JR; Voillet V; Simoni Y; Bi T; Tyznik AJ; Martin J; Gottardo R; Newell EW; Prlic M
Cell Rep; 2020 Apr; 31(1):107499. PubMed ID: 32268080
[TBL] [Abstract][Full Text] [Related]
10. Elucidating the cellular dynamics of the brain with single-cell RNA sequencing.
Cardona-Alberich A; Tourbez M; Pearce SF; Sibley CR
RNA Biol; 2021 Jul; 18(7):1063-1084. PubMed ID: 33499699
[TBL] [Abstract][Full Text] [Related]
11. Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline.
Mikolajewicz N; Gacesa R; Aguilera-Uribe M; Brown KR; Moffat J; Han H
Commun Biol; 2022 Oct; 5(1):1142. PubMed ID: 36307536
[TBL] [Abstract][Full Text] [Related]
12. Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing.
Gupta RK; Kuznicki J
Cells; 2020 Jul; 9(8):. PubMed ID: 32707839
[TBL] [Abstract][Full Text] [Related]
13. An Informative Approach to Single-Cell Sequencing Analysis.
Kashima Y; Suzuki A; Suzuki Y
Adv Exp Med Biol; 2019; 1129():81-96. PubMed ID: 30968362
[TBL] [Abstract][Full Text] [Related]
14. MorphoSeq: Full Single-Cell Transcriptome Dynamics Up to Gastrulation in a Chordate.
Sladitschek HL; Fiuza UM; Pavlinic D; Benes V; Hufnagel L; Neveu PA
Cell; 2020 May; 181(4):922-935.e21. PubMed ID: 32315617
[TBL] [Abstract][Full Text] [Related]
15. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
F1000Res; 2018; 7():1306. PubMed ID: 31316748
[TBL] [Abstract][Full Text] [Related]
16. Single-Cell RNA Sequencing for Studying Human Cancers.
Aran D
Annu Rev Biomed Data Sci; 2023 Aug; 6():1-22. PubMed ID: 37040737
[TBL] [Abstract][Full Text] [Related]
17. Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
Dharmat R; Kim S; Li Y; Chen R
Methods Mol Biol; 2020; 2092():159-186. PubMed ID: 31786788
[TBL] [Abstract][Full Text] [Related]
18. Single-cell and spatial transcriptomics approaches of cardiovascular development and disease.
Roth R; Kim S; Kim J; Rhee S
BMB Rep; 2020 Aug; 53(8):393-399. PubMed ID: 32684243
[TBL] [Abstract][Full Text] [Related]
19. scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data.
Zeng P; Ma Y; Lin Z
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36383176
[TBL] [Abstract][Full Text] [Related]
20. Identification of Cell Types from Single-Cell Transcriptomic Data.
Shekhar K; Menon V
Methods Mol Biol; 2019; 1935():45-77. PubMed ID: 30758819
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]