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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
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Claim

Data associated with Spatial predictors of immunotherapy response in triple negative breast cancer

Research datakeyboard_double_arrow_right Dataset 31 May 2023 English Publisher:Zenodo
Authors: Wang, Xiao Qian; Danenberg, Esther; Huang, Chiun-Sheng; Egle, Daniel; Callari, Maurizio; Bermejo, Begoña; Dugo, Matteo; +20 Authors

doi: 10.5281/zenodo.7990870 , 10.5281/zenodo.7990869

Data associated with Spatial predictors of immunotherapy response in triple negative breast cancer

Abstract

This dataset contains all the IMC data associated with Wang et al. Spatial predictors of immunotherapy response in triple negative breast cancer, 2023. The zip file NTPublic contains: Raw multiplexed image data, image masks (cell, nuclear, epithelial, vessel), spillover matrix for signal compensation, antibody panel information, clinical data Processed single-cell data Code for analysis and creating plots Please read the accompanying DataGuide.pdf for folder structure guide and information on both the raw and processed data. Please read the accompanying CodeGuide.pdf to reproduce published figures. 

Funding: This research was funded by CRUK (grants A25815, A27463 and A29580). THIS DATASET IS AVAILABLE THROUGH THIS REPOSITORY FOR ACADEMIC NON-COMMERCIAL USE ONLY. THE DATASET CAN ONLY BE USED BY THE APPLICANTS NAMED ON THE APPLICATION AND FOR THE INTENDED USE SPECIFIED IN THE APPLICATION. COPY OR DISTRIBUTION OF THIS DATASET IS STRICTLY PROHIBITED.

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Keywords

Tumour microenvironment, IMC, multiplexed imaging, triple negative breast cancer, TME, imaging mass cytometry, immunotherapy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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