About: Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm

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scientific article published on 19 July 2018

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в липні 2018 (uk) artículu científicu espublizáu en xunetu de 2018 (ast) scientific article published on 19 July 2018 (en)
publication date	wds:Q90351374-EE6C88F7-0E22-43C0-A0ED-7B95AAFE36B1
publication date	2018-07-19 00:00:00Z (xsd:dateTime)
cites work	wds:Q90351374-02D52F89-CC59-411D-A8CE-16291B9CA882 wds:Q90351374-082EB9C5-36CC-4A19-81C0-F7DC213C767D wds:Q90351374-14E79DEA-80FE-4506-A360-431374A611A5 wds:Q90351374-1779DE18-AE0F-4445-9765-B7DA7BB88A0D wds:Q90351374-205085DA-0145-4076-8C98-BE93A5CFDECB wds:Q90351374-49D7BEC6-341C-44C1-86C3-2BFC60F5986A wds:Q90351374-4C49A5F1-92EE-4618-BFFB-1C08B52EE2FF wds:Q90351374-5A0C2792-F72C-4586-984A-D157631AEDC5 wds:Q90351374-61290BFF-4D38-4800-85E7-708501F88895 wds:Q90351374-69B652AE-86AE-460C-9045-B1C813385E13 wds:Q90351374-71D2EEFD-4642-4C43-ADE5-6E0702AA030D wds:Q90351374-792EF715-1E06-4455-9F39-BCBBF08B9C93 wds:Q90351374-87734D0C-A73A-40A3-839A-B01BBDF99D81 wds:Q90351374-91EC47EF-7098-4B28-B67D-01BDC1E8B5FE wds:Q90351374-B15DA894-94C0-4154-9F89-79143DF848AB wds:Q90351374-B2F53B50-ACAC-4AF6-820B-3CAE20118253 wds:Q90351374-DC31F85A-9E4C-4CCE-86E8-C192FBEACF61 wds:Q90351374-DF008978-AD05-4D62-8A64-3A368D8C597B wds:Q90351374-E13D4AB2-F240-4B96-B4ED-4DE727374087 wds:Q90351374-E2CDD053-AD07-42C2-8A80-AD5F92E0EE4A wds:Q90351374-ED6402E4-461F-4FE7-A501-5DD8E1F01D5D
cites work	Kernel density estimation via diffusion Automated identification of stratifying signatures in cellular subpopulations Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum A subset of neutrophils in human systemic inflammation inhibits T cell responses through Mac-1. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia Clinical utility of asthma biomarkers: from bench to bedside Automated high-dimensional flow cytometric data analysis Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE Beyond six colors: a new era in flow cytometry Subject classification obtained by cluster analysis and principal component analysis applied to flow cytometric data. Data analysis in flow cytometry: the future just started Functional heterogeneity and differential priming of circulating neutrophils in human experimental endotoxemia Seventeen-colour flow cytometry: unravelling the immune system Automated pattern-guided principal component analysis vs expert-based immunophenotypic classification of B-cell chronic lymphoproliferative disorders: a step forward in the standardization of clinical immunophenotyping A survey of flow cytometry data analysis methods High dimensional flow cytometry for comprehensive leukocyte immunophenotyping (CLIP) in translational research Towards the disease biomarker in an individual patient using statistical health monitoring Comparison of Data-Driven Bandwidth Selectors An interactive multivariate analysis of FCM data Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness. Plug-in bandwidth matrices for bivariate kernel density estimation
author name string	wds:Q90351374-2AD158BC-ED52-41F0-A215-86969F028822 wds:Q90351374-41F5EF5C-7018-47C9-A78B-97CB6F5D49BB wds:Q90351374-58805CCB-E6DB-43F5-8133-6BA70A181191 wds:Q90351374-69DB4471-6D72-4F6A-AB91-51A630D9DA58 wds:Q90351374-7CC6329D-08C2-4B0A-8AA2-144DFD56E998 wds:Q90351374-A88CBE97-DE1C-4FEA-B023-68DEB62E7D18 wds:Q90351374-AC41C1EF-34C6-47D1-A8DE-D4900CA75C03 wds:Q90351374-AFDBC990-5F07-469A-B203-7959D8A2FE18 wds:Q90351374-C145D125-EAD8-4D36-B2F0-1404F558E9DF
author name string	Jeroen J Jansen Selma van Staveren Gerjen H Tinnevelt Geert Postma Nienke Vrisekoop Oscar F van den Brink Bart Hilvering Rita Folcarelli Roel Bouman
rdfs:label	Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (en) Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (nl)
skos:prefLabel	Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (en) Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (nl)
name	Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (en) Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (nl)
author	wds:Q90351374-CB45ACF0-F710-43AD-9DD6-21AA3EDCD4B1 wds:Q90351374-E4C2CF27-E398-41F0-9239-09BF0E7A8366
author	Lutgarde Buydens Leo Koenderman
title	wds:Q90351374-98B584A3-E3B2-43B5-853B-AA8298B8BF4F
title	Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm (en)
page(s)	wds:Q90351374-0312FF08-8331-46AE-AEEE-10AF42B115C8
page(s)	10907
instance of	wds:Q90351374-DCD7E4BC-D76A-415C-B2CA-DB6C08F5BBC1
instance of	scholarly article
main subject	wds:Q90351374-2B4BDD07-8446-4F2B-BC26-B998B6DC7D23
main subject	flow cytometry
PubMed ID	wds:Q90351374-E6666045-659E-4A89-8A82-6927F85DD49D
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30026601
PubMed ID	30026601
published in	wds:Q90351374-D6C8DD74-74D2-46F2-8B1D-76C0D6144095
published in	Scientific Reports
issue	wds:Q90351374-B3440098-38AF-47B6-92A7-0905DBF3656E
volume	wds:Q90351374-659B0F36-91F1-43C3-ABB0-B35E4A3CCB43
issue	1
volume	8
DOI	wds:Q90351374-31B12253-8DAB-458C-87D5-DBB702908A7E
DOI	http://dx.doi.org/10.1038/S41598-018-29367-W
DOI	10.1038/S41598-018-29367-W
copyright license	wds:Q90351374-5fc8fd75-9db2-43dd-8bad-f277f3bf7c8c
copyright status	wds:Q90351374-a1c473b3-0cf1-4463-bed1-639eb4e1cce5
copyright license	Creative Commons Attribution 4.0 International

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