A methodological approach to correlate tumor heterogeneity with drug distribution profile in mass spectrometry imaging (MSI) data

Dataset

DOI

The dataset folder contains MSI data analyzed in the above paper. The main goal of the study was to use a methodological approach to link tumour heterogeneity with drug homogeneity. The MSI data files in the folder derived from two different cancer cell-lines (ovarian and colon) under two treatment conditions (with and without bevacizumab).

Date Submitted: 2020-02-17

Identifier
DOI	https://doi.org/10.17026/dans-26h-kstf
Metadata Access	https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-26h-kstf

Provenance
Creator	L Morosi
Publisher	DANS Data Station Phys-Tech Sciences
Contributor	M. Prasad
Publication Year	2020
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	M. Prasad (Radboud University)

Representation
Resource Type	Dataset
Format	application/octet-stream; type/x-r-syntax; application/zip
Size	384; 237653808; 290463700; 912797728; 500146560; 462113964; 167455736; 56024; 56020; 118792; 252370100; 92433000; 90304240; 314020110; 279427760; 146380260; 204192900; 179488080; 122935890; 150133600; 422754930; 183325450; 205873500; 130638640; 271136800; 164110590; 103076800; 149741460; 262173600; 170776970; 152682510; 249457060; 182849280; 196910300; 259260560; 487037880; 123860220; 192904870; 165062930; 219822480; 154055000; 250521440; 157136100; 194109300; 318501710; 202344240; 143775330; 124700520; 2693; 88647; 2654; 11339
Version	1.0
Discipline	Chemistry; Natural Sciences