Beyond the age of cellular discovery

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Nature Immunology

• Publication date

  2014-11-14

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/ni.3034PMID 25396342
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Automated identification of stratifying signatures in cellular subpopulations

  2014cited by this paper
• Macrophage activation and polarization: nomenclature and experimental guidelines.

  2014cited by this paper
• High-dimensional analysis of the murine myeloid cell system

  2014cited by this paper
• Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

  2014cited by this paper
• Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)

  2013cited by this paper
• viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

  2013cited by this paper
• Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

  2012cited by this paper
• Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE

  2011cited by this paper
• Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

  2011cited by this paper
• Bringing order to early B cell chaos

  2006cited by this paper
• Single cell profiling of potentiated phospho-protein networks in cancer cells.

  2004cited by this paper

• Single Cell Profiling Distinguishes Leukemia-Selective Chemotypes

  2024cites this paper
• PulseID: Multi-scale photoplethysmographic identification using a deep convolutional neural network

  2024cites this paper
• Intravesical oncolytic virotherapy and immunotherapy for non‐muscle‐invasive bladder cancer mouse model

  2023cites this paper
• Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

  2021cites this paper
• Two New Neutrophil Subsets Define a Discriminating Sepsis Signature.

  2021cites this paper
• A Machine Learning Approach to Prediction of Soybean Disease

  2021cites this paper
• Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

  2020cites this paper
• Two new immature and dysfunctional neutrophil cell subsets define a predictive signature of sepsis useable in clinical practice

  2020cites this paper
• From Bivariate to Multivariate Analysis of Cytometric Data: Overview of Computational Methods and Their Application in Vaccination Studies

  2020cites this paper
• Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells

  2020cites this paper
• Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction

  2020cites this paper
• Improving the t-SNE Algorithms for Cytometry and Other Technologies: Cen-Se' Mapping

  2019cites this paper
• High risk glioblastoma cells revealed by machine learning and single cell signaling profiles

  2019cites this paper
• Automated identification of maximal differential cell populations in flow cytometry data

  2019cites this paper
• Identifying differential cell populations in flow cytometry data accounting for marker frequency

  2019cites this paper
• Single‐cell technologies in reproductive immunology

  2019cites this paper
• Computational Immune Monitoring Reveals Abnormal Double-Negative T Cells Present across Human Tumor Types

  2018cites this paper
• BRAF and MEK inhibitor therapy eliminates Nestin‐expressing melanoma cells in human tumors

  2018influential citation
• Implementation of Mass Cytometry as a Tool for Mechanism of Action Studies in Inflammatory Bowel Disease.

  2018cites this paper
• Clinical Proteomics for Post‐Hematopoeitic Stem Cell Transplantation Outcomes

  2018cites this paper
• Regulatory myeloid cells: an underexplored continent in B-cell lymphomas

  2017cites this paper
• Preparing Viable Single Cells from Human Tissue and Tumors for Cytomic Analysis

  2017cites this paper
• Single cell analysis of human tissues and solid tumors with mass cytometry

  2017cites this paper
• Regulatory T cells: tolerance induction in solid organ transplantation

  2017cites this paper
• Gut–liver axis and sterile signals in the development of alcoholic liver disease

  2017cites this paper
• Feature-based Comparison of Flow Cytometry Data

  2017cites this paper
• Distinct patterns of B-cell receptor signaling in non-Hodgkin lymphomas identified by single-cell profiling.

  2017cites this paper
• Mass cytometry deep phenotyping of human mononuclear phagocytes and myeloid‐derived suppressor cells from human blood and bone marrow

  2017cites this paper
• Characterizing cell subsets in heterogeneous tissues using marker enrichment modeling

  2016cites this paper
• High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy

  2016cites this paper
• Deep phenotyping of Tregs identifies an immune signature for idiopathic aplastic anemia and predicts response to treatment.

  2016cites this paper
• Multiparameter analysis of stimulated human peripheral blood mononuclear cells: A comparison of mass and fluorescence cytometry

  2016cites this paper
• Myelodysplastic Syndrome Revealed by Systems Immunology in a Melanoma Patient Undergoing Anti–PD-1 Therapy

  2016cites this paper
• Dissecting Complex Cellular Systems with High Dimensional Single Cell Mass Cytometry

  2016cites this paper
• The Obama Administration's Cancer Moonshot: A Call for Proteomics

  2016cites this paper
• Systems immune monitoring in cancer therapy.

  2016cites this paper
• Computational flow cytometry: helping to make sense of high-dimensional immunology data

  2016cites this paper
• A New Approach for Scalable Analysis of Microbial Communities

  2015cites this paper
• Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.

  2015cites this paper
• Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

  2015cites this paper
• Journal of Biometrics & Biostatistics

  year unknowncites this paper