Quantifying the effect of experimental perturbations at single-cell resolution | Nature Biotechnology
nature.com · 1,872 words · saved by 2 readers
Matched treatment and control single-cell RNA sequencing samples are more accurately compared at the single-cell level.
References Luecken, M. D. & Theis, F. J. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol. Syst. Biol. 15, e8746 (2019). Article PubMed PubMed Central Google Scholar 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). Article CAS PubMed Google Scholar Moon, K. R. et al. Visualizing structure and transitions in high-dimensional biological data. Nat. Biotechnol. 37, 1482–1492 (2019). Article CAS PubMed PubMed Central Google Scholar van…
saved by
related reading
- scGen predicts single-cell perturbation responsesnature.com
- Epigenetic reprogramming of cell identity: lessons from development for regenerative medicineclinicalepigeneticsjournal.biomedcentral.com
- Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performancenature.com
- Signature-scoring methods developed for bulk samples are not adequate for cancer single-cell RNA sequencing data | eLifeelifesciences.org
- 10. Feature selection — Single-cell best practicessc-best-practices.org
- A survey of best practices for RNA-seq data analysisgenomebiology.biomedcentral.com
- The art of using t-SNE for single-cell transcriptomicsnature.com
- Chapter 3 Feature selection | Basics of Single-Cell Analysis with Bioconductorbioconductor.org
- Somatic mutation landscapes at single-molecule resolutionnature.com
- Technologies to measure and modulate protein subcellular localizationnature.com
- Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology | Springer Nature Linkembopress.org
- Publicationsbintulab.com