Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
出版年份 2019 全文链接
标题
Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
作者
关键词
-
出版物
Nature Communications
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-11-28
DOI
10.1038/s41467-019-13055-y
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。- Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
- (2019) George C. Linderman et al. NATURE METHODS
- GPU accelerated t-distributed stochastic neighbor embedding
- (2019) David M. Chan et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- The art of using t-SNE for single-cell transcriptomics
- (2019) Dmitry Kobak et al. Nature Communications
- OMIP-044: 28-color immunophenotyping of the human dendritic cell compartment
- (2018) Florian Mair et al. CYTOMETRY PART A
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks
- (2018) Hyunghoon Cho et al. Cell Systems
- Background fluorescence and spreading error are major contributors of variability in high-dimensional flow cytometry data visualization by t-distributed stochastic neighboring embedding
- (2018) Emilia Maria Cristina Mazza et al. CYTOMETRY PART A
- OMIP-050: A 28-color/30-parameter Fluorescence Flow Cytometry Panel to Enumerate and Characterize Cells Expressing a Wide Array of Immune Checkpoint Molecules
- (2018) Leonard Nettey et al. CYTOMETRY PART A
- Multivariate Computational Analysis of Gamma Delta T Cell Inhibitory Receptor Signatures Reveals the Divergence of Healthy and ART-Suppressed HIV+ Aging
- (2018) Anna C. Belkina et al. Frontiers in Immunology
- Approximated and User Steerable tSNE for Progressive Visual Analytics
- (2017) Nicola Pezzotti et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Simultaneous epitope and transcriptome measurement in single cells
- (2017) Marlon Stoeckius et al. NATURE METHODS
- Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
- (2017) Vincent van Unen et al. Nature Communications
- Hierarchical Stochastic Neighbor Embedding
- (2016) N. Pezzotti et al. COMPUTER GRAPHICS FORUM
- OMIP-037: 16-color panel to measure inhibitory receptor signatures from multiple human immune cell subsets
- (2016) Anna C. Belkina et al. CYTOMETRY PART A
- Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data
- (2016) Lukas M. Weber et al. CYTOMETRY PART A
- Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline
- (2016) Hao Chen et al. PLoS Computational Biology
- Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
- (2015) Jacob H. Levine et al. CELL
- Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data
- (2015) Lin Lin et al. CYTOMETRY PART A
- FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data
- (2015) Sofie Van Gassen et al. CYTOMETRY PART A
- Detection of minimal residual disease in B lymphoblastic leukemia using viSNE
- (2015) Joseph A. DiGiuseppe et al. CYTOMETRY PART B-CLINICAL CYTOMETRY
- Mapping the Diversity of Follicular Helper T Cells in Human Blood and Tonsils Using High-Dimensional Mass Cytometry Analysis
- (2015) Michael T. Wong et al. Cell Reports
- CD28 Negative T Cells: Is Their Loss Our Gain?
- (2014) D. Mou et al. AMERICAN JOURNAL OF TRANSPLANTATION
- High-dimensional analysis of the murine myeloid cell system
- (2014) Burkhard Becher et al. NATURE IMMUNOLOGY
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)
- (2013) K. Shekhar et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Cytometry: Today’s technology and tomorrow’s horizons
- (2012) Pratip K. Chattopadhyay et al. METHODS
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- (2011) S. C. Bendall et al. SCIENCE
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