muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
出版年份 2020 全文链接
标题
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-11-30
DOI
10.1038/s41467-020-19894-4
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- dream: Powerful differential expression analysis for repeated measures designs
- (2020) Gabriel E Hoffman et al. BIOINFORMATICS
- Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
- (2019) Tianyu Wang et al. BMC BIOINFORMATICS
- Single-cell RNA sequencing reveals midbrain dopamine neuron diversity emerging during mouse brain development
- (2019) Katarína Tiklová et al. Nature Communications
- Comprehensive Integration of Single-Cell Data
- (2019) Tim Stuart et al. CELL
- The evolving concept of cell identity in the single cell era
- (2019) Samantha A. Morris DEVELOPMENT
- A periodic table of cell types
- (2019) Bo Xia et al. DEVELOPMENT
- Current best practices in single‐cell RNA‐seq analysis: a tutorial
- (2019) Malte D Luecken et al. Molecular Systems Biology
- Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq
- (2019) Dylan Kotliar et al. eLife
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- Author Correction: High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy
- (2018) Carsten Krieg et al. NATURE MEDICINE
- Bias, robustness and scalability in single-cell differential expression analysis
- (2018) Charlotte Soneson et al. NATURE METHODS
- Compensation of Signal Spillover in Suspension and Imaging Mass Cytometry
- (2018) Stéphane Chevrier et al. Cell Systems
- Mixed-effects association of single cells identifies an expanded effector CD4+ T cell subset in rheumatoid arthritis
- (2018) Chamith Y. Fonseka et al. Science Translational Medicine
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
- (2017) Hyun Min Kang et al. NATURE BIOTECHNOLOGY
- Sensitive detection of rare disease-associated cell subsets via representation learning
- (2017) Eirini Arvaniti et al. Nature Communications
- Batch effects and the effective design of single-cell gene expression studies
- (2017) Po-Yuan Tung et al. Scientific Reports
- Complex heatmaps reveal patterns and correlations in multidimensional genomic data
- (2016) Zuguang Gu et al. BIOINFORMATICS
- variancePartition: interpreting drivers of variation in complex gene expression studies
- (2016) Gabriel E. Hoffman et al. BMC BIOINFORMATICS
- Revealing the vectors of cellular identity with single-cell genomics
- (2016) Allon Wagner et al. NATURE BIOTECHNOLOGY
- iCOBRA: open, reproducible, standardized and live method benchmarking
- (2016) Charlotte Soneson et al. NATURE METHODS
- Defining cell types and states with single-cell genomics
- (2015) Cole Trapnell GENOME RESEARCH
- Fitting Linear Mixed-Effects Models Usinglme4
- (2015) Douglas Bates et al. Journal of Statistical Software
- Orchestrating high-throughput genomic analysis with Bioconductor
- (2015) Wolfgang Huber et al. NATURE METHODS
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Automated identification of stratifying signatures in cellular subpopulations
- (2014) Robert V. Bruggner et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- A smart local moving algorithm for large-scale modularity-based community detection
- (2013) Ludo Waltman et al. EUROPEAN PHYSICAL JOURNAL B
- Snakemake--a scalable bioinformatics workflow engine
- (2012) J. Koster et al. BIOINFORMATICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Minimal penetration of lipopolysaccharide across the murine blood–brain barrier
- (2009) William A. Banks et al. BRAIN BEHAVIOR AND IMMUNITY
- Fast unfolding of communities in large networks
- (2008) Vincent D Blondel et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
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