Dataset for 'High-resolution and quantitative spatial analysis reveal intra-ductal phenotypic and functional diversification in pancreatic cancer'

Ellis Michiels (Creator)
Ilse Rooman (Creator)

Dataset

Abstract

High-resolution and quantitative spatial analysis reveal intra-ductal phenotypic and functional diversification in pancreatic cancer

Date made available	19 Mar 2025
Publisher	VUB Institutional Data Repository

Keywords

pancreatic cancer
quantitative spatial analysis

Format

Format
svs
czi
tiff

Contact person

Ilse Rooman

1 Finished
1 Active

SRP65: SRP-Groeifinanciering: Molecular Portrait of Pancreatic Tumours: Veni, vidi, vici
Rooman, I. & De Grève, J.
1/03/19 → 31/12/26
Project: Fundamental
FWOODYS12: De-convolution of tumour biology in the post-genomic era: focus on pancreatic cancer
Rooman, I.
1/10/16 → 1/10/21
Project: Fundamental

1 Article

High-resolution and quantitative spatial analysis reveal intra-ductal phenotypic and functional diversification in pancreatic cancer
Michiels, E., Madhloum, H., Van Lint, S., Messaoudi, N., Kunda, R., Martens, S., Giron, P., Olsen, C., Lefesvre, P., Dusetti, N., El Mohajer, L., Tomasini, R., Hawinkels, L. J., Ahsayni, F., Nicolle, R., Arsenijevic, T., Bouchart, C., Van Laethem, J-L. & Rooman, I., Jan 2024, In: Journal of pathology. 262, 1, p. 76-89 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Citations (Scopus)

37 Downloads (Pure)

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