- Home
- Publications
- Publication Search
- Publication Details
Title
The art of using t-SNE for single-cell transcriptomics
Authors
Keywords
-
Journal
Nature Communications
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-11-28
DOI
10.1038/s41467-019-13056-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
- (2019) George C. Linderman et al. NATURE METHODS
- The single-cell transcriptional landscape of mammalian organogenesis
- (2019) Junyue Cao et al. NATURE
- Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
- (2019) Anna C. Belkina et al. Nature Communications
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- bigSCale: an analytical framework for big-scale single-cell data
- (2018) Giovanni Iacono et al. GENOME RESEARCH
- scmap: projection of single-cell RNA-seq data across data sets
- (2018) Vladimir Yu Kiselev et al. NATURE METHODS
- Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
- (2018) Jiarui Ding et al. Nature Communications
- Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
- (2018) Kenneth D. Harris et al. PLOS BIOLOGY
- 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
- Molecular Architecture of the Mouse Nervous System
- (2018) Amit Zeisel et al. CELL
- M3Drop: dropout-based feature selection for scRNASeq
- (2018) Tallulah S Andrews et al. BIOINFORMATICS
- Identification of cell types in a mouse brain single-cell atlas using low sampling coverage
- (2018) Aparna Bhaduri et al. BMC BIOLOGY
- Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
- (2018) et al. NATURE
- Shared and distinct transcriptomic cell types across neocortical areas
- (2018) Bosiljka Tasic et al. NATURE
- Dimensionality reduction for visualizing single-cell data using UMAP
- (2018) Etienne Becht et al. NATURE BIOTECHNOLOGY
- Approximated and User Steerable tSNE for Progressive Visual Analytics
- (2017) Nicola Pezzotti et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
- (2017) Vincent van Unen et al. Nature Communications
- Massively parallel digital transcriptional profiling of single cells
- (2017) Grace X. Y. Zheng et al. Nature Communications
- Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling
- (2017) Scott A. Yuzwa et al. Cell Reports
- Application of t-SNE to human genetic data
- (2017) Wentian Li et al. Journal of Bioinformatics and Computational Biology
- Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
- (2016) Karthik Shekhar et al. CELL
- Hierarchical Stochastic Neighbor Embedding
- (2016) N. Pezzotti et al. COMPUTER GRAPHICS FORUM
- Disentangling neural cell diversity using single-cell transcriptomics
- (2016) Jean-Francois Poulin et al. NATURE NEUROSCIENCE
- Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
- (2016) Bosiljka Tasic et al. NATURE NEUROSCIENCE
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
- (2015) Evan Z. Macosko et al. CELL
- Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
- (2015) Cathryn R Cadwell et al. NATURE BIOTECHNOLOGY
- Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure
- (2015) John A. Lee et al. NEUROCOMPUTING
- Mapping the stereotyped behaviour of freely moving fruit flies
- (2014) G. J. Berman et al. Journal of the Royal Society Interface
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Entering the era of single-cell transcriptomics in biology and medicine
- (2013) Rickard Sandberg NATURE METHODS
- Quality assessment of dimensionality reduction: Rank-based criteria
- (2009) John A. Lee et al. NEUROCOMPUTING
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