Related references
Note: Only part of the references are listed.High-Parameter Single-Cell Analysis
Pratip K. Chattopadhyay et al.
ANNUAL REVIEW OF ANALYTICAL CHEMISTRY, VOL 12 (2019)
The single-cell transcriptional landscape of mammalian organogenesis
Junyue Cao et al.
NATURE (2019)
A comparison of single-cell trajectory inference methods
Wouter Saelens et al.
NATURE BIOTECHNOLOGY (2019)
Differential Expression of CD49f Discriminates the Independently Emerged Hematopoietic Stem Cells and Erythroid-Biased Progenitors
Ai-Ning Xu et al.
BLOOD (2019)
The anatomy of single cell mass cytometry data
Lars R. Olsen et al.
CYTOMETRY PART A (2019)
Dimensionality reduction for visualizing single-cell data using UMAP
Etienne Becht et al.
NATURE BIOTECHNOLOGY (2019)
Automated subset identification and characterization pipeline for multidimensional flow and mass cytometry data clustering and visualization
Stephen Meehan et al.
COMMUNICATIONS BIOLOGY (2019)
diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
Lukas M. Weber et al.
COMMUNICATIONS BIOLOGY (2019)
A comparison framework and guideline of clustering methods for mass cytometry data
Xiao Liu et al.
GENOME BIOLOGY (2019)
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf et al.
GENOME BIOLOGY (2019)
A Beginner's Guide to Analyzing and Visualizing Mass Cytometry Data
Abigail K. Kimball et al.
JOURNAL OF IMMUNOLOGY (2018)
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Andrew Butler et al.
NATURE BIOTECHNOLOGY (2018)
scmap: projection of single-cell RNA -seq data across data sets
Vladimir Yu Kiselev et al.
NATURE METHODS (2018)
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis
Jeffrey A. Farrell et al.
SCIENCE (2018)
Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut
Charles A. Herring et al.
CELL SYSTEMS (2018)
flowIO: Flow cytometry standard conformance testing, editing, and export tool
Miroslav Koblizek et al.
CYTOMETRY PART A (2018)
GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
Fabrizio Costa et al.
NATURE COMMUNICATIONS (2018)
MetaCyto: A Tool for Automated Meta-analysis of Mass and Flow Cytometry Data
Zicheng Hu et al.
CELL REPORTS (2018)
From haematopoietic stem cells to complex differentiation landscapes
Elisa Laurenti et al.
NATURE (2018)
SCOUP: a probabilistic model based on the Ornstein-Uhlenbeck process to analyze single-cell expression data during differentiation
Hirotaka Matsumoto et al.
BMC BIOINFORMATICS (2016)
Mass Cytometry: Single Cells, Many Features
Matthew H. Spitzer et al.
CELL (2016)
Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data
Lukas M. Weber et al.
CYTOMETRY PART A (2016)
Wishbone identifies bifurcating developmental trajectories from single-cell data
Manu Setty et al.
NATURE BIOTECHNOLOGY (2016)
Diffusion pseudotime robustly reconstructs lineage branching
Laleh Haghverdi et al.
NATURE METHODS (2016)
FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data from Arbitrary to Calibrated Units
Sebastian M. Castillo-Hair et al.
ACS SYNTHETIC BIOLOGY (2016)
Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline
Hao Chen et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Diffusion maps for high-dimensional single-cell analysis of differentiation data
Laleh Haghverdi et al.
BIOINFORMATICS (2015)
FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data
Sofie Van Gassen et al.
CYTOMETRY PART A (2015)
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie et al.
NUCLEIC ACIDS RESEARCH (2015)
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
Sean C. Bendall et al.
CELL (2014)
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
Eugenio Marco et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis
Greg Finak et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
El-ad David Amir et al.
NATURE BIOTECHNOLOGY (2013)
The sva package for removing batch effects and other unwanted variation in high-throughput experiments
Jeffrey T. Leek et al.
BIOINFORMATICS (2012)
TGF beta inhibition enhances the generation of hematopoietic progenitors from human ES cell-derived hemogenic endothelial cells using a stepwise strategy
Chengyan Wang et al.
CELL RESEARCH (2012)
Hematopoiesis: A Human Perspective
Sergei Doulatov et al.
CELL STEM CELL (2012)
FlowRepository: A resource of annotated flow cytometry datasets associated with peer-reviewed publications
Josef Spidlen et al.
CYTOMETRY PART A (2012)
Rapid Cell Population Identification in Flow Cytometry Data
Nima Aghaeepour et al.
CYTOMETRY PART A (2011)
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
Peng Qiu et al.
NATURE BIOTECHNOLOGY (2011)
Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
Sean C. Bendall et al.
SCIENCE (2011)
Fast exact k nearest neighbors search using an orthogonal search tree
Yi-Ching Liaw et al.
PATTERN RECOGNITION (2010)
flowCore: a Bioconductor package for high throughput flow cytometry
Florian Hahne et al.
BMC BIOINFORMATICS (2009)
Using flowViz to visualize flow cytometry data
D. Sarkar et al.
BIOINFORMATICS (2008)
Share Paper
