Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging (MSI) data

DOI

The datasets are the part of the paper where the performance of different unsupervised methods were compared to validate their performance for spatial patterns selection on synthetic and real MSI data. The data folder contains some example spatially autocorrelated synthetic datasets.

Date Submitted: 2020-02-17

Identifier
DOI https://doi.org/10.17026/dans-25c-ex37
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-25c-ex37
Provenance
Creator M. Prasad
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/zip; application/octet-stream; text/csv; type/x-r-syntax
Size 26254; 814997668; 56197031; 34095197; 2461; 11979650; 12313523; 12084949; 11993593; 12327454; 12102693; 12086661; 12072559; 12406234; 12055382; 12389303; 12054713; 12008096; 12341795; 12069107; 11942921; 12276698; 12047220; 12032622; 12021363; 12355344; 12004137; 12337758; 12000447; 11959251; 12293202; 12057094; 12390943; 12040344; 12374211; 12037319; 11995350; 12329247; 10885147
Version 1.0
Discipline Chemistry; Natural Sciences