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An illustration of the IMC multi-feature observations from ..:

Ya-Wei Eileen Lin (10492487) ; Tal Shnitzer (10492490) ; Ronen Talmon (10492493)...
https://figshare.com/articles/figure/An_illustration_of_the_IMC_multi-feature_observations_from_a_single_subject_/14336237. , 2021

Link: https://doi.org/10.1371/journal.pcbi.1008741.g002

RT Journal
T1 <Title>An illustration of the IMC multi-feature observations from a single subject</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14336237&Exemplar=1&LAN=DE
				
A1 Ya-Wei Eileen Lin (10492487)
A1 Tal Shnitzer (10492490)
A1 Ronen Talmon (10492493)
A1 Franz Villarroel-Espindola (6093377)
A1 Shruti Desai (10492496)
A1 Kurt Schalper (404807)
A1 Yuval Kluger (17869)
YR 2021
K1 Biophysics
K1 Cell Biology
K1 Biotechnology
K1 Cancer
K1 Space Science
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 IMC datasets
K1 assay
K1 tumor tissue slides
K1 feature space
K1 imaging mass cytometry Imaging Mass
K1 mass spectrometry
K1 IMC data
K1 ROI
K1 graph-based approach
K1 PD
K1 axis blockers treatment
K1 phenotypic state
K1 m covariates
K1 high-dimensional multivariate obser
K1 state distribution
K1 multiplexed data
K1 protein targets
K1 graphs approach
K1 laser ablation
K1 graphs analysis
K1 lung cancer subjects
K1 tissue microarrays
K1 representative spots
K1 nonlinear dimension reduction analysis
K1 quantitate metal-conjugated
K1 spatially-resolved multiplexing
K1 multi-dimensional observations
K1 representation
JF https://figshare.com/articles/figure/An_illustration_of_the_IMC_multi-feature_observations_from_a_single_subject_/14336237
LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1008741.g002
DO https://doi.org/10.1371/journal.pcbi.1008741.g002
SF ELIB - SuUB Bremen

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