Integrating single-cell transcriptomic data across different conditions, technologies, and species
出版年份 2018 全文链接
标题
Integrating single-cell transcriptomic data across different conditions, technologies, and species
作者
关键词
-
出版物
NATURE BIOTECHNOLOGY
Volume 36, Issue 5, Pages 411-420
出版商
Springer Nature
发表日期
2018-04-02
DOI
10.1038/nbt.4096
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。- Developmental diversification of cortical inhibitory interneurons
- (2018) Christian Mayer et al. NATURE
- Comparative Analysis of Single-Cell RNA Sequencing Methods
- (2017) Christoph Ziegenhain et al. MOLECULAR CELL
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
- (2017) Hyun Min Kang et al. NATURE BIOTECHNOLOGY
- Power analysis of single-cell RNA-sequencing experiments
- (2017) Valentine Svensson 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
- SC3: consensus clustering of single-cell RNA-seq data
- (2017) Vladimir Yu Kiselev 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
- Corrigendum: Nuclear RNA-seq of single neurons reveals molecular signatures of activation
- (2017) Benjamin Lacar et al. Nature Communications
- Massively parallel digital transcriptional profiling of single cells
- (2017) Grace X. Y. Zheng et al. Nature Communications
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
- (2016) S. Nestorowa et al. BLOOD
- Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
- (2016) Karthik Shekhar et al. CELL
- Single-Cell Resolution of Temporal Gene Expression during Heart Development
- (2016) Daniel M. DeLaughter et al. DEVELOPMENTAL CELL
- Resolving early mesoderm diversification through single-cell expression profiling
- (2016) Antonio Scialdone et al. NATURE
- Single-cell barcoding and sequencing using droplet microfluidics
- (2016) Rapolas Zilionis et al. Nature Protocols
- Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
- (2016) Maxim V. Kuleshov et al. NUCLEIC ACIDS RESEARCH
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
- (2016) P. L. Stahl et al. SCIENCE
- Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
- (2016) B. B. Lake et al. SCIENCE
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
- (2016) I. Tirosh et al. SCIENCE
- 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
- Identification of cell types from single-cell transcriptomes using a novel clustering method
- (2015) Chen Xu et al. BIOINFORMATICS
- GOplot: an R package for visually combining expression data with functional analysis: Fig. 1.
- (2015) Wencke Walter et al. BIOINFORMATICS
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- 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
- Defining the three cell lineages of the human blastocyst by single-cell RNA-seq
- (2015) Paul Blakeley et al. DEVELOPMENT
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
- (2015) Kaia Achim et al. NATURE BIOTECHNOLOGY
- Single-cell analysis reveals transcriptional heterogeneity of neural progenitors in human cortex
- (2015) Matthew B Johnson et al. NATURE NEUROSCIENCE
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Computing and Visualizing Dynamic Time Warping Alignments inR: ThedtwPackage
- (2015) Toni Giorgino Journal of Statistical Software
- Genome-wide RNA Tomography in the Zebrafish Embryo
- (2014) Jan Philipp Junker et al. CELL
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
- (2014) Sean C. Bendall et al. CELL
- 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
- Full-length RNA-seq from single cells using Smart-seq2
- (2014) Simone Picelli et al. Nature Protocols
- Highly Multiplexed Subcellular RNA Sequencing in Situ
- (2014) J. H. Lee et al. SCIENCE
- A smart local moving algorithm for large-scale modularity-based community detection
- (2013) Ludo Waltman et al. EUROPEAN PHYSICAL JOURNAL B
- Comprehensive literature review and statistical considerations for microarray meta-analysis
- (2012) George C. Tseng et al. NUCLEIC ACIDS RESEARCH
- Super-resolution of human face image using canonical correlation analysis
- (2010) Hua Huang et al. PATTERN RECOGNITION
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
- (2009) D. M. Witten et al. BIOSTATISTICS
- Sparse canonical methods for biological data integration: application to a cross-platform study
- (2009) Kim-Anh Lê Cao et al. BMC BIOINFORMATICS
- The Unfolded Protein Response: A Pathway That Links Insulin Demand with β-Cell Failure and Diabetes
- (2008) Donalyn Scheuner et al. ENDOCRINE REVIEWS
- CD56brightnatural killer (NK) cells: an important NK cell subset
- (2008) Aurélie Poli et al. IMMUNOLOGY
- Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis
- (2008) Sandra Waaijenborg et al. Statistical Applications in Genetics and Molecular Biology
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now