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LAVENDER: latent axes discovery from multiple cytometry samples with non-parametric divergence estimation and multidimensional scaling reconstruction
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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/cyto.a.22735openalex-snapshot
Mapping cell populations in flow cytometry data for cross‐sample comparison using the Friedman–Rafsky test statistic as a distance measure
inferredcites →https://doi.org/10.1002/cyto.b.20435openalex-snapshot
Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: Treating flow cytometry data as high‐dimensional objects
inferredcites →https://doi.org/10.1002/eji.201545774openalex-snapshot
The end of gating? An introduction to automated analysis of high dimensional cytometry data
inferredcites →https://doi.org/10.1007/978-1-4757-2711-1openalex-snapshot
Modern Multidimensional Scaling
inferredcites →https://doi.org/10.1007/bf01954540openalex-snapshot
Embedding metric spaces in Euclidean space
inferredcites →https://doi.org/10.1007/bf03656390openalex-snapshot
Ratio of neutrophil to lymphocyte counts — rapid and simple parameter of systemic inflammation and stress in critically ill
inferredcites →https://doi.org/10.1016/j.cell.2014.03.031openalex-snapshot
Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses
inferredcites →https://doi.org/10.1016/j.cell.2015.05.002openalex-snapshot
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
inferredcites →https://doi.org/10.1016/j.cell.2019.01.006openalex-snapshot
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
inferredcites →https://doi.org/10.1016/j.cmet.2016.08.020openalex-snapshot
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
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/ng.3811openalex-snapshot
Potential energy landscapes identify the information-theoretic nature of the epigenome
inferredcites →https://doi.org/10.1038/ni.2067openalex-snapshot
Systems biology of vaccination for seasonal influenza in humans
inferredcites →https://doi.org/10.1038/ni.2789openalex-snapshot
Molecular signatures of antibody responses derived from a systems biology study of five human vaccines
inferredcites →https://doi.org/10.1038/ni.3485openalex-snapshot
Mass cytometry: blessed with the curse of dimensionality
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/10.1073/pnas.0903028106openalex-snapshot
Automated high-dimensional flow cytometric data analysis.
inferredcites →https://doi.org/10.1073/pnas.1408792111openalex-snapshot
Automated identification of stratifying signatures in cellular subpopulations
inferredcites →https://doi.org/10.1093/bioinformatics/bts082openalex-snapshot
Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays
inferredcites →https://doi.org/10.1093/bioinformatics/btw708openalex-snapshot
SPADEVizR: an R package for visualization, analysis and integration of SPADE results
inferredcites →https://doi.org/10.1101/191056openalex-snapshot
Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming
inferredcites →https://doi.org/10.1109/tit.2003.813506openalex-snapshot
A new metric for probability distributions
inferredcites →https://doi.org/10.1109/tpami.2009.67openalex-snapshot
FINE: Fisher Information Nonparametric Embedding
inferredcites →https://doi.org/10.1126/science.350.6261.696openalex-snapshot
Single-cell biology: The power of one
inferredcites →https://doi.org/10.1186/1471-2105-13-s2-s10openalex-snapshot
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry
inferredcites →https://doi.org/10.1186/1471-2105-13-s3-s10openalex-snapshot
FUSE: a profit maximization approach for functional summarization of biological networks
inferredcites →https://doi.org/10.1186/1471-2105-9-179openalex-snapshot
Multidimensional scaling for large genomic data sets
inferredcites →https://doi.org/10.1371/journal.pcbi.1003130openalex-snapshot
Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples
inferredcites →https://doi.org/10.1371/journal.pone.0025953openalex-snapshot
Gnarled-Trunk Evolutionary Model of Influenza A Virus Hemagglutinin
inferredcites →https://doi.org/10.1371/journal.pone.0100334openalex-snapshot
Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
inferredcites →https://doi.org/10.1371/journal.pone.0157066openalex-snapshot
Early Rise of Blood T Follicular Helper Cell Subsets and Baseline Immunity as Predictors of Persisting Late Functional Antibody Responses to Vaccination in Humans
inferredcites →https://doi.org/10.2307/2669710openalex-snapshot
Modern Multidimensional Scaling: Theory and Applications
inferredcites →https://doi.org/10.3389/fimmu.2015.00001openalex-snapshot
Glucose Metabolism Regulates T Cell Activation, Differentiation, and Functions
inferredcites →https://doi.org/10.3389/fimmu.2015.00380openalex-snapshot
An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation
inferredcites →https://doi.org/10.3390/vaccines2040707openalex-snapshot
Overview of Serological Techniques for Influenza Vaccine Evaluation: Past, Present and Future
inferredcites →https://doi.org/10.4049/jimmunol.0900398openalex-snapshot
Original Antigenic Sin Responses to Influenza Viruses
inferredcites →https://doi.org/10.4049/jimmunol.1502005openalex-snapshot
Identification of Vaccine-Altered Circulating B Cell Phenotypes Using Mass Cytometry and a Two-Step Clustering Analysis
inferredcites →https://doi.org/10.48550/arxiv.1305.7255openalex-snapshot
Non-linear dimensionality reduction: Riemannian metric estimation and the problem of geometric discovery
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-16-4866-3_21openalex-snapshot
Distance-Matrix-Based Extraction of Motility Features from Functionally Heterogeneous Cell Populations
inferred← citeshttps://doi.org/10.1038/s10038-020-00874-xopenalex-snapshot
Genome-wide association study of individual differences of human lymphocyte profiles using large-scale cytometry data
inferred← citeshttps://doi.org/10.1371/journal.pone.0231250openalex-snapshot
Decomposition of a set of distributions in extended exponential family form for distinguishing multiple oligo-dimensional marker expression profiles of single-cell populations and visualizing their dynamics
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