scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1090627170 |
P356 | DOI | 10.1038/S41598-017-05714-1 |
P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/s41598-017-05714-1 |
P8608 | Fatcat ID | release_crdmbomoirbo7eem75amzcfkmy |
P932 | PMC publication ID | 5511252 |
P698 | PubMed publication ID | 28710472 |
P50 | author | Lutgarde Buydens | Q27061944 |
Gerjen H Tinnevelt | Q88525361 | ||
Marietta Kokla | Q88525363 | ||
Andries C. Bloem | Q110191734 | ||
P2093 | author name string | Jeroen J Jansen | |
Selma van Staveren | |||
Leo Koenderman | |||
Luzheng Xue | |||
Bart Hilvering | |||
Rita Folcarelli | |||
P2860 | cites work | EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols | Q24604720 |
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 | Q24628943 | ||
Beyond model antigens: high-dimensional methods for the analysis of antigen-specific T cells | Q27013972 | ||
FINE: fisher information nonparametric embedding. | Q51792327 | ||
Partial least-squares regression: a tutorial | Q56112883 | ||
Orthogonal projections to latent structures (O-PLS) | Q56435041 | ||
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification | Q58045925 | ||
Principal component analysis | Q59430599 | ||
Breaking with trends in pre-processing? | Q63849397 | ||
Assessment of PLSDA cross validation | Q114867960 | ||
Sequence variants of the gene encoding chemoattractant receptor expressed on Th2 cells (CRTH2) are associated with asthma and differentially influence mRNA stability | Q28280327 | ||
Inferring phenotypic properties from single-cell characteristics | Q28729182 | ||
Critical assessment of automated flow cytometry data analysis techniques. | Q30587564 | ||
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia | Q30628090 | ||
Subject classification obtained by cluster analysis and principal component analysis applied to flow cytometric data. | Q31105166 | ||
A structured overview of simultaneous component based data integration | Q33492569 | ||
A survey of flow cytometry data analysis methods | Q33521891 | ||
Data analysis in flow cytometry: the future just started | Q33618094 | ||
Automated identification of stratifying signatures in cellular subpopulations | Q33854094 | ||
CRTH2 expression on T cells in asthma | Q33982443 | ||
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE | Q34037159 | ||
Frequency difference gating: a multivariate method for identifying subsets that differ between samples | Q34095019 | ||
CHIC-an automated approach for the detection of dynamic variations in complex microbial communities. | Q34660175 | ||
Prostaglandin D2 and leukotriene E4 synergize to stimulate diverse TH2 functions and TH2 cell/neutrophil crosstalk. | Q35566605 | ||
A subset of neutrophils in human systemic inflammation inhibits T cell responses through Mac-1. | Q35640574 | ||
Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies | Q35914758 | ||
Asthma diagnosis: addressing the challenges | Q38371020 | ||
Functional heterogeneity and differential priming of circulating neutrophils in human experimental endotoxemia | Q43094851 | ||
Enhancing scatterplots with smoothed densities. | Q48553948 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | flow cytometry | Q1141429 |
data analysis | Q1988917 | ||
P304 | page(s) | 5471 | |
P577 | publication date | 2017-07-14 | |
P1433 | published in | Scientific Reports | Q2261792 |
P1476 | title | Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype | |
P478 | volume | 7 |
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Q93165941 | Key steps and methods in the experimental design and data analysis of highly multi-parametric flow and mass cytometry |
Q96431737 | Multi-set Pre-processing of Multicolor Flow Cytometry Data |
Q91645072 | New advances in microfluidic flow cytometry |
Q92202630 | Resolving complex hierarchies in chemical mixtures: how chemometrics may serve in understanding the immune system |
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