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Ole N. Jensen

dblp:439/0469 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0003-1862-8528ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › omics data analysis
batch effect correction
1.012026
Batch correction for large-scale mass spectrometry imaging experiments · Bioinform. 2026
Bioinformatics and computational biology › metabolomics
mass spectrometry imaging
1.012026
Batch correction for large-scale mass spectrometry imaging experiments · Bioinform. 2026

Methods — techniques the papers use, named apart from their topics

scVI · 1.0harmony · 1.0combat · 1.0FastMNN · 1.0CCA · 1.0
YearPublicationVenuePosition
2026 Batch correction for large-scale mass spectrometry imaging experiments
abstract
SUMMARY: We assess batch correction methods for MALDI mass spectrometry imaging experiments. ComBAT reduced batch-related technical variance, maintained biological variation, and improved the overall score by 19.4%. AVAILABILITY AND IMPLEMENTATION: Methods are available in R. comBAT is used through the "sva" package while Harmony, CCA, FastMNN are available in the "Seurat" package https://github.com/satijalab/seurat. scVI, scANVI are Scanorama are available in the Python programming language and through their github https://github.com/scverse/scvi-tools. Associated R code is found at DOI: https://doi.org/10.5281/zenodo.19730022.
Andreas A. Sparre, Ole N. Jensen
Bioinform.2