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Data · dataset · 2018

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

Listed in DANS Data Station Physical and Technical Sciences

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.

Description

The data folder contains some example spatially autocorrelated synthetic datasets. Date Submitted: 2020-02-17

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Where it is published

Catalogue records · 1

Topics

Stated by source
Chemistry
From keywords
Chemistry
Inferred from text
Analytical chemistry 69% · Imaging 75% · Mass spectrometry 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-25C-EX3711 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3401enrichment · phys techsciences datastations nltaxonomy-embedding@1.1.0title+keywords+description (69%)
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concepts[field].local:field:chemistrymapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[modality].local:modality:imagingenrichment · phys techsciences datastations nlkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:mass-spectrometryenrichment · phys techsciences datastations nlkeyword-concept-rules@1.0.0title+description (75%)
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