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Continuous visualization of differences between biological conditions in single-cell data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471142956.cy1017s53openalex-snapshot
Web‐Based Analysis and Publication of Flow Cytometry Experiments
inferredcites →https://doi.org/10.1002/cyto.a.10072openalex-snapshot
Intracellular phospho‐protein staining techniques for flow cytometry: Monitoring single cell signaling events
inferredcites →https://doi.org/10.1002/cyto.a.22625openalex-snapshot
FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
inferredcites →https://doi.org/10.1007/978-3-319-16859-3_32openalex-snapshot
On the Normal Approximation to the Binomial Distribution
inferredcites →https://doi.org/10.1016/j.cell.2004.06.028openalex-snapshot
Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells
inferredcites →https://doi.org/10.1016/j.cell.2014.04.005openalex-snapshot
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
inferredcites →https://doi.org/10.1016/j.cell.2015.05.047openalex-snapshot
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
inferredcites →https://doi.org/10.1016/j.cell.2016.12.022openalex-snapshot
Systemic Immunity Is Required for Effective Cancer Immunotherapy
inferredcites →https://doi.org/10.1016/j.cell.2018.07.010openalex-snapshot
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
inferredcites →https://doi.org/10.1016/j.patrec.2013.10.022openalex-snapshot
Alhazen and the nearest neighbor rule
inferredcites →https://doi.org/10.1038/311752a0openalex-snapshot
Insertion of N regions into heavy-chain genes is correlated with expression of terminal deoxytransferase in B cells
inferredcites →https://doi.org/10.1038/nbt.1991openalex-snapshot
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
inferredcites →https://doi.org/10.1038/nbt.2317openalex-snapshot
Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators
inferredcites →https://doi.org/10.1038/nbt.2594openalex-snapshot
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
inferredcites →https://doi.org/10.1038/nbt.3187openalex-snapshot
COMPASS identifies T-cell subsets correlated with clinical outcomes
inferredcites →https://doi.org/10.1038/ncomms14825openalex-snapshot
Sensitive detection of rare disease-associated cell subsets via representation learning
inferredcites →https://doi.org/10.1038/nm.3488openalex-snapshot
Multiplexed ion beam imaging of human breast tumors
inferredcites →https://doi.org/10.1038/nmeth.2869openalex-snapshot
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
inferredcites →https://doi.org/10.1038/nmeth.3863openalex-snapshot
Automated mapping of phenotype space with single-cell data
inferredcites →https://doi.org/10.1038/nmeth.4295openalex-snapshot
Testing for differential abundance in mass cytometry data
inferredcites →https://doi.org/10.1038/nri.2016.56openalex-snapshot
Computational flow cytometry: helping to make sense of high-dimensional immunology data
inferredcites →https://doi.org/10.1038/nri1247openalex-snapshot
The mechanisms of immune diversification and their disorders
inferredcites →https://doi.org/10.1038/s41467-016-0009-6openalex-snapshot
In situ click chemistry generation of cyclooxygenase-2 inhibitors
inferredcites →https://doi.org/10.1038/s41587-019-0071-9openalex-snapshot
A comparison of single-cell trajectory inference methods
inferredcites →https://doi.org/10.1038/s41598-017-06311-yopenalex-snapshot
Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning
inferredcites →https://doi.org/10.1073/pnas.0704662104openalex-snapshot
Dissecting biological “dark matter” with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth
inferredcites →https://doi.org/10.1073/pnas.1321405111openalex-snapshot
Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)
inferredcites →https://doi.org/10.1073/pnas.1408792111openalex-snapshot
Automated identification of stratifying signatures in cellular subpopulations
inferredcites →https://doi.org/10.1080/14786440109462720openalex-snapshot
LIII. On lines and planes of closest fit to systems of points in space
inferredcites →https://doi.org/10.1093/bioinformatics/btp616openalex-snapshot
edgeR : a Bioconductor package for differential expression analysis of digital gene expression data
inferredcites →https://doi.org/10.1093/biomet/6.1.1openalex-snapshot
THE PROBABLE ERROR OF A MEAN
inferredcites →https://doi.org/10.1093/biostatistics/kxt024openalex-snapshot
Mixture models for single-cell assays with applications to vaccine studies
inferredcites →https://doi.org/10.1097/aln.0000000000000887openalex-snapshot
Patient-specific Immune States before Surgery Are Strong Correlates of Surgical Recovery
inferredcites →https://doi.org/10.1101/217737openalex-snapshot
K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
inferredcites →https://doi.org/10.1101/273862openalex-snapshot
Comparative Analysis of Linear and Nonlinear Dimension Reduction Techniques on Mass Cytometry Data
inferredcites →https://doi.org/10.1112/plms/s3-13.1.743openalex-snapshot
How to Draw a Graph
inferredcites →https://doi.org/10.1126/science.1198704openalex-snapshot
Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
inferredcites →https://doi.org/10.1126/science.1259425openalex-snapshot
An interactive reference framework for modeling a dynamic immune system
inferredcites →https://doi.org/10.1186/1471-2105-14-124openalex-snapshot
The impact of quantile and rank normalization procedures on the testing power of gene differential expression analysis
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.1214/aoms/1177731058openalex-snapshot
On the Normal Approximation to the Binomial Distribution
inferredcites →https://doi.org/10.12688/f1000research.11622.1openalex-snapshot
CyTOF workflow: Differential discovery in high-throughput high-dimensional cytometry datasets
inferredcites →https://doi.org/10.12688/f1000research.11622.3openalex-snapshot
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets
inferredcites →https://doi.org/10.1371/journal.pone.0164464openalex-snapshot
Data Driven Estimation of Imputation Error—A Strategy for Imputation with a Reject Option
inferredcites →https://doi.org/10.2307/2331554openalex-snapshot
The Probable Error of a Mean

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1039/d5cb00203fopenalex-snapshot
Discovery of natural products that modulate signaling in patient-derived cells
inferred← citeshttps://doi.org/10.1101/2024.05.01.591375openalex-snapshot
Velociraptor: Cross-Platform Quantitative Search Using Hallmark Cell Features
inferred← citeshttps://doi.org/10.7554/elife.64653openalex-snapshot
Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy
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