标题
DrImpute: imputing dropout events in single cell RNA sequencing data
作者
关键词
Single cell RNA sequencing data, Dropout events, Imputation, Next generation sequencing
出版物
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-06-08
DOI
10.1186/s12859-018-2226-y
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。- A general and flexible method for signal extraction from single-cell RNA-seq data
- (2018) Davide Risso et al. Nature Communications
- Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
- (2017) Bo Wang et al. NATURE METHODS
- SC3: consensus clustering of single-cell RNA-seq data
- (2017) Vladimir Yu Kiselev et al. NATURE METHODS
- Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex
- (2017) Sinisa Hrvatin et al. NATURE NEUROSCIENCE
- Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
- (2017) Wuming Gong et al. Nature Communications
- Massively parallel digital transcriptional profiling of single cells
- (2017) Grace X. Y. Zheng et al. Nature Communications
- Pseudotime estimation: deconfounding single cell time series
- (2016) John E. Reid et al. BIOINFORMATICS
- pcaReduce: hierarchical clustering of single cell transcriptional profiles
- (2016) Justina žurauskienė et al. BMC BIOINFORMATICS
- Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq
- (2016) Barbara Treutlein et al. NATURE
- Resolving early mesoderm diversification through single-cell expression profiling
- (2016) Antonio Scialdone et al. NATURE
- Revealing the vectors of cellular identity with single-cell genomics
- (2016) Allon Wagner et al. NATURE BIOTECHNOLOGY
- Diffusion pseudotime robustly reconstructs lineage branching
- (2016) Laleh Haghverdi et al. NATURE METHODS
- TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
- (2016) Zhicheng Ji et al. NUCLEIC ACIDS RESEARCH
- Defining the three cell lineages of the human blastocyst by single-cell RNA-seq
- (2015) P. Blakeley et al. DEVELOPMENT
- The Technology and Biology of Single-Cell RNA Sequencing
- (2015) Aleksandra A. Kolodziejczyk et al. MOLECULAR CELL
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
- (2014) Alex A Pollen et al. NATURE BIOTECHNOLOGY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Bayesian approach to single-cell differential expression analysis
- (2014) Peter V Kharchenko et al. NATURE METHODS
- Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
- (2014) Dmitry Usoskin et al. NATURE NEUROSCIENCE
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- (2014) Q. Deng et al. SCIENCE
- Single-cell sequencing-based technologies will revolutionize whole-organism science
- (2013) Ehud Shapiro et al. NATURE REVIEWS GENETICS
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
- (2011) S. Islam et al. GENOME RESEARCH
- Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
- (2010) Guoji Guo et al. DEVELOPMENTAL CELL
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
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