2026-10-07T07:33:24Z https://board.unimib.it/oai

oai:board.unimib.it/gxz9kjj2r9.1 2026-09-14T06:59:27Z

Capitoli, Giulia Dataset: Poseidon Data ccRCC Application Bicocca Open Archive Research Data This repository contains MALDI mass spectrometry imaging (MALDI-MSI) data acquired from a clear cell renal cell carcinoma (ccRCC) tissue section. The dataset comprises spatially resolved mass spectra of lipids, N-glycans, and tryptic peptides obtained from the same tissue section using a multi-omics imaging workflow. These complementary molecular layers enable the characterization of distinct histological regions, including healthy renal cortex, renal capsule, and tumor tissue. In particular: FinalMatrix_Coor.RDS contains pixel coordinates. FinalMatrix_Coor_reverseX.RDS contains the same coordinates flipped along the x-axis to match the orientation of the H&E-stained tissue image. FinalMatrix_Lipids.RDS, FinalMatrix_Glycans.RDS, and FinalMatrix_Peptides.RDS contain transformed molecular abundances for each pixel. Each row corresponds to a pixel and each column to an m/z value. list_ind_resolution_4123.RDS and list_ind_resolution_4123_cpp.RDS contain the indices of neighboring pixels for each pixel. The former uses 1-based indexing, whereas the latter uses 0-based indexing. These data were analyzed in the study “Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods” by Francesco Denti, Cecilia Balocchi, Vanna Denti, and Giulia Capitoli, published in Biometrics. Preprint: https://fradenti.github.io/pdf/Poseidon.pdf Analysis code: https://github.com/Fradenti/poseidon-maldi Mass Spectrometry Image Segmentation Spatial Analysis Multiomics Denti, Francesco Balocchi, Cecilia Denti, Vanna Dataset doi:10.17632/gxz9kjj2r9.1 oai:board.unimib.it/gxz9kjj2r9.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://board.unimib.it/datasets/gxz9kjj2r9 2026-09-14T06:59:27Z