标题
Orchestrating single-cell analysis with Bioconductor
作者
关键词
-
出版物
NATURE METHODS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-12-03
DOI
10.1038/s41592-019-0654-x
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。- Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
- (2019) Tianyu Wang et al. BMC BIOINFORMATICS
- Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage
- (2019) Dvir Aran et al. NATURE IMMUNOLOGY
- Challenges in unsupervised clustering of single-cell RNA-seq data
- (2019) Vladimir Yu Kiselev et al. NATURE REVIEWS GENETICS
- A comparison of single-cell trajectory inference methods
- (2019) Wouter Saelens et al. NATURE BIOTECHNOLOGY
- Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments
- (2019) Luyi Tian et al. NATURE METHODS
- scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing data
- (2019) Zhe Wang et al. BMC BIOINFORMATICS
- scds: computational annotation of doublets in single-cell RNA sequencing data
- (2019) Abha S Bais et al. BIOINFORMATICS
- Reproducible and replicable comparisons using SummarizedBenchmark
- (2018) Patrick K Kimes et al. BIOINFORMATICS
- Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
- (2018) Kelly Street et al. BMC GENOMICS
- Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data
- (2018) Shun H Yip et al. BRIEFINGS IN BIOINFORMATICS
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data
- (2018) Jean Fan et al. GENOME RESEARCH
- Identifying cell populations with scRNASeq
- (2018) Tallulah S. Andrews et al. MOLECULAR ASPECTS OF MEDICINE
- Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
- (2018) Laleh Haghverdi et al. NATURE BIOTECHNOLOGY
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- scmap: projection of single-cell RNA-seq data across data sets
- (2018) Vladimir Yu Kiselev et al. NATURE METHODS
- SAVER: gene expression recovery for single-cell RNA sequencing
- (2018) Mo Huang et al. NATURE METHODS
- Bias, robustness and scalability in single-cell differential expression analysis
- (2018) Charlotte Soneson et al. NATURE METHODS
- Detection and removal of barcode swapping in single-cell RNA-seq data
- (2018) Jonathan A. Griffiths et al. Nature Communications
- A general and flexible method for signal extraction from single-cell RNA-seq data
- (2018) Davide Risso et al. Nature Communications
- Joint profiling of chromatin accessibility and gene expression in thousands of single cells
- (2018) Junyue Cao et al. SCIENCE
- Acquired cancer resistance to combination immunotherapy from transcriptional loss of class I HLA
- (2018) K. G. Paulson et al. Nature Communications
- Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq
- (2018) Mihriban Karaayvaz et al. Nature Communications
- scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
- (2018) Luyi Tian et al. PLoS Computational Biology
- clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
- (2018) Davide Risso et al. PLoS Computational Biology
- M3Drop: dropout-based feature selection for scRNASeq
- (2018) Tallulah S Andrews et al. BIOINFORMATICS
- The Human Cell Atlas: from vision to reality
- (2017) Orit Rozenblatt-Rosen et al. NATURE
- Multiplexed quantification of proteins and transcripts in single cells
- (2017) Vanessa M Peterson et al. NATURE BIOTECHNOLOGY
- SCENIC: single-cell regulatory network inference and clustering
- (2017) Sara Aibar et al. NATURE METHODS
- Simultaneous epitope and transcriptome measurement in single cells
- (2017) Marlon Stoeckius et al. NATURE METHODS
- Normalizing single-cell RNA sequencing data: challenges and opportunities
- (2017) Catalina A Vallejos et al. NATURE METHODS
- Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
- (2017) Bo Wang et al. NATURE METHODS
- Reversed graph embedding resolves complex single-cell trajectories
- (2017) Xiaojie Qiu et al. NATURE METHODS
- SC3: consensus clustering of single-cell RNA-seq data
- (2017) Vladimir Yu Kiselev et al. NATURE METHODS
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data
- (2016) David A. duVerle et al. BMC BIOINFORMATICS
- Bioconductor’s EnrichmentBrowser: seamless navigation through combined results of set- & network-based enrichment analysis
- (2016) Ludwig Geistlinger et al. BMC BIOINFORMATICS
- Computational methods for trajectory inference from single-cell transcriptomics
- (2016) Robrecht Cannoodt et al. EUROPEAN JOURNAL OF IMMUNOLOGY
- Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
- (2016) Christof Angermueller et al. NATURE METHODS
- Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq
- (2016) Iain C Macaulay et al. Nature Protocols
- TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
- (2016) Zhicheng Ji et al. NUCLEIC ACIDS RESEARCH
- KEGG: new perspectives on genomes, pathways, diseases and drugs
- (2016) Minoru Kanehisa et al. NUCLEIC ACIDS RESEARCH
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
- (2016) I. Tirosh et al. SCIENCE
- Next-generation sequencing: advances and applications in cancer diagnosis
- (2016) Simona Serratì et al. OncoTargets and Therapy
- destiny: diffusion maps for large-scale single-cell data in R
- (2015) Philipp Angerer et al. BIOINFORMATICS
- The Technology and Biology of Single-Cell RNA Sequencing
- (2015) Aleksandra A. Kolodziejczyk et al. MOLECULAR CELL
- Integrated genome and transcriptome sequencing of the same cell
- (2015) Siddharth S Dey et al. NATURE BIOTECHNOLOGY
- Orchestrating high-throughput genomic analysis with Bioconductor
- (2015) Wolfgang Huber et al. NATURE METHODS
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- The Reactome pathway Knowledgebase
- (2015) Antonio Fabregat et al. NUCLEIC ACIDS RESEARCH
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- (2015) A. Zeisel et al. SCIENCE
- Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays
- (2014) Martin J. Aryee et al. BIOINFORMATICS
- Bayesian approach to single-cell differential expression analysis
- (2014) Peter V Kharchenko et al. NATURE METHODS
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
- (2014) A. P. Patel et al. SCIENCE
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- (2014) Q. Deng et al. SCIENCE
- Object-Oriented Programming, Functional Programming and R
- (2014) John M. Chambers STATISTICAL SCIENCE
- Software for Computing and Annotating Genomic Ranges
- (2013) Michael Lawrence et al. PLoS Computational Biology
- Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments
- (2012) Andrew McDavid et al. BIOINFORMATICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now