Quantifying the effect of experimental perturbations at single-cell resolution-Reference-Cited by-同舟云学术

Quantifying the effect of experimental perturbations at single-cell resolution

Published:2021-02-08 Issue:5 Volume:39 Page:619-629
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Burkhardt Daniel B.^ORCID,Stanley Jay S.,Tong Alexander,Perdigoto Ana Luisa^ORCID,Gigante Scott A.^ORCID,Herold Kevan C.,Wolf Guy^ORCID,Giraldez Antonio J.^ORCID,van Dijk David^ORCID,Krishnaswamy Smita^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41587-020-00803-5.pdf

Reference74 articles.

1. Luecken, M. D. & Theis, F. J. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol. Syst. Biol. 15, e8746 (2019).

2. Weinreb, C., Wolock, S., Klein, A. M. & Berger, B. SPRING: a kinetic interface for visualizing high dimensional single-cell expression data. Bioinformatics 34, 1246–1248 (2018).

3. Moon, K. R. et al. Visualizing structure and transitions in high-dimensional biological data. Nat. Biotechnol. 37, 1482–1492 (2019).

4. van Dijk, D. et al. Recovering gene interactions from single-cell data using data diffusion. Cell 174, 716–729 (2018).

5. Shekhar, K. et al. Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics. Cell 166, 1308–1323 (2016).

Cited by 122 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mini-review on perturbation modelling across single-cell omic modalities;Computational and Structural Biotechnology Journal;2024-12

2. PerturbDB for unraveling gene functions and regulatory networks;Nucleic Acids Research;2024-09-11

3. Proliferation and differentiation of intestinal stem cells depends on the zinc finger transcription factor BCL11/Chronophage;2024-09-09

4. Robust identification of perturbed cell types in single-cell RNA-seq data;Nature Communications;2024-09-01

5. Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics;Nature Methods;2024-08-26