Bayesian approach to single-cell differential expression analysis

Kharchenko, Peter V, Silberstein, Lev, Scadden, David T·2014·Nature Methods
DOI 10.1038/nmeth.2967

Cited by (125)

Items 101–125 of 125

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  5. Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization
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  6. Exploiting single-cell expression to characterize co-expression replicability
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  7. Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
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  8. BTR: training asynchronous Boolean models using single-cell expression data
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  9. Improved reproducibility by assuring confidence in measurements in biomedical research
    Plant, Anne L, Locascio, Laurie E, May, Willie E, Gallagher, Patrick D · 2014 · Nature Methods
  10. Comparison of methods to detect differentially expressed genes between single-cell populations
    Jaakkola, Maria K., Seyednasrollah, Fatemeh, Mehmood, Arfa, Elo, Laura L. · 2016 · Briefings in Bioinformatics
  11. Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes
    Zhou, Joseph X., Taramelli, Roberto, Pedrini, Edoardo, Knijnenburg, Theo, Huang, Sui · 2017 · Scientific Reports
  12. Integrated analysis of single cell transcriptomic data across conditions, technologies, and species
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  13. Transcriptomic and anatomic parcellation of 5-HT3AR expressing cortical interneuron subtypes revealed by single-cell RNA sequencing
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  14. bigSCale: an analytical framework for big-scale single-cell data
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  15. Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq
    Zhang, Jesse M., Kamath, Govinda M., Tse, David N. · 2019 · Cell Systems
  16. ASGARD is a single-cell guided pipeline to aid repurposing of drugs
    He, Bing, Xiao, Yao, Liang, Haodong, Huang, Qianhui, Du, Yuheng, Li, Yijun, Garmire, David, Sun, Duxin, Garmire, Lana X. · 2023 · Nature Communications
  17. Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments
    Hicks, Stephanie C., Townes, F. William, Teng, Mingxiang, Irizarry, Rafael A. · 2015
  18. ClusterMap: compare multiple single cell RNA-Seq datasets across different experimental conditions
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  19. Gliotransmission of D-serine promotes thirst-directed behaviors in Drosophila
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  20. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies
    Das, Samarendra, Rai, Anil, Merchant, Michael L., Cave, Matthew C., Rai, Shesh N. · 2021 · Genes
  21. B cell-derived acetylcholine promotes liver regeneration by regulating Kupffer cell and hepatic CD8+ T cell function
    Modares, Nastaran Fazel, Hendrikse, Liam D., Smith, Logan K., Paul, Michael St., Haight, Jillian, Luo, Ping, Liu, Shaofeng, Fortin, Jerome, Tong, Frances K., Wakeham, Andrew C. et al. · 2025 · Immunity
  22. Differential gene expression analysis for multi-subject single-cell RNA-sequencing studies with<i>aggregateBioVar</i>
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  23. High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis
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  24. Generative modeling and latent space arithmetics predict single-cell perturbation response across cell types, studies and species
    Lotfollahi, M., Wolf, F. Alexander, Theis, Fabian J. · 2018
  25. Pseudoreplication bias in single-cell studies; a practical solution
    Zimmerman, Kip D., Espeland, Mark A., Langefeld, Carl D. · 2020