标题
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
作者
关键词
-
出版物
NATURE BIOTECHNOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-05-09
DOI
10.1038/s41587-019-0113-3
参考文献
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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。- An interpretable framework for clustering single-cell RNA-Seq datasets
- (2018) Jesse M. Zhang et al. BMC BIOINFORMATICS
- Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data
- (2018) Shun H Yip et al. BRIEFINGS IN BIOINFORMATICS
- Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
- (2018) David van Dijk et al. CELL
- A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain
- (2018) Kristofer Davie et al. CELL
- 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
- Bias, robustness and scalability in single-cell differential expression analysis
- (2018) Charlotte Soneson et al. NATURE METHODS
- Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
- (2018) Alexander B. Rosenberg et al. SCIENCE
- An accurate and robust imputation method scImpute for single-cell RNA-seq data
- (2018) Wei Vivian Li et al. Nature Communications
- Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
- (2018) Jiarui Ding et al. Nature Communications
- Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor
- (2018) Megan Crow et al. Nature Communications
- Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks
- (2018) Hyunghoon Cho et al. Cell Systems
- Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain
- (2018) Arpiar Saunders et al. CELL
- A test metric for assessing single-cell RNA-seq batch correction
- (2018) Maren Büttner et al. NATURE METHODS
- The Human Cell Atlas: from vision to reality
- (2017) Orit Rozenblatt-Rosen et al. NATURE
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
- (2017) Hyun Min Kang et al. NATURE BIOTECHNOLOGY
- SCENIC: single-cell regulatory network inference and clustering
- (2017) Sara Aibar 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
- Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
- (2017) Todd M Gierahn et al. NATURE METHODS
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
- (2017) Alexandra-Chloé Villani et al. SCIENCE
- Batch effects and the effective design of single-cell gene expression studies
- (2017) Po-Yuan Tung et al. Scientific Reports
- A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
- (2016) S. Nestorowa et al. BLOOD
- Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
- (2016) Åsa Segerstolpe et al. Cell Metabolism
- De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
- (2016) Dominic Grün et al. Cell Stem Cell
- Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes
- (2016) Nathan Lawlor et al. GENOME RESEARCH
- A Single-Cell Transcriptome Atlas of the Human Pancreas
- (2016) Mauro J. Muraro et al. Cell Systems
- A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
- (2016) Maayan Baron et al. Cell Systems
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
- (2015) Franziska Paul et al. CELL
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
- (2015) Evan Z. Macosko et al. CELL
- Single-cell messenger RNA sequencing reveals rare intestinal cell types
- (2015) Dominic Grün et al. NATURE
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
- (2014) Barbara Treutlein et al. NATURE
- Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
- (2014) Alex K. Shalek et al. NATURE
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Compressive genomics
- (2012) Po-Ru Loh et al. NATURE BIOTECHNOLOGY
- Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
- (2011) N. Halko et al. SIAM REVIEW
- GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
- (2009) Eran Eden et al. BMC BIOINFORMATICS
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