标题
scGen predicts single-cell perturbation responses
作者
关键词
-
出版物
NATURE METHODS
Volume 16, Issue 8, Pages 715-721
出版商
Springer Science and Business Media LLC
发表日期
2019-07-31
DOI
10.1038/s41592-019-0494-8
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Single-cell RNA-seq denoising using a deep count autoencoder
- (2019) Gökcen Eraslan et al. Nature Communications
- A comparison of single-cell trajectory inference methods
- (2019) Wouter Saelens et al. NATURE BIOTECHNOLOGY
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
- (2018) Jiarui Ding et al. Nature Communications
- Perturbation-response genes reveal signaling footprints in cancer gene expression
- (2018) Michael Schubert et al. Nature Communications
- Gene expression variability across cells and species shapes innate immunity
- (2018) Tzachi Hagai et al. NATURE
- Deep generative modeling for single-cell transcriptomics
- (2018) Romain Lopez et al. NATURE METHODS
- Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model
- (2018) Fabian Fröhlich et al. Cell Systems
- A single-cell survey of the small intestinal epithelium
- (2017) Adam L. Haber et al. NATURE
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
- (2017) Hyun Min Kang et al. NATURE BIOTECHNOLOGY
- Pooled CRISPR screening with single-cell transcriptome readout
- (2017) Paul Datlinger et al. NATURE METHODS
- Single-cell transcriptomics to explore the immune system in health and disease
- (2017) Michael J. T. Stubbington et al. SCIENCE
- Massively parallel digital transcriptional profiling of single cells
- (2017) Grace X. Y. Zheng et al. Nature Communications
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- A novel technique to determine the cell type specific response within an in vitro co-culture model via multi-colour flow cytometry
- (2017) Martin J. D. Clift et al. Scientific Reports
- Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens
- (2016) Atray Dixit et al. CELL
- A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response
- (2016) Britt Adamson et al. CELL
- BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
- (2015) Catalina A. Vallejos et al. PLoS Computational Biology
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
- (2014) Sean C. Bendall et al. CELL
- Bayesian approach to single-cell differential expression analysis
- (2014) Peter V Kharchenko et al. NATURE METHODS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started