Evidence map›Paper›PMID 42038406›Full record

ArticleNAR genomics and bioinformatics2026

Analysis and visualization of expression patterns with fuzzy sets as FlowSets.

Felix Offensperger, Markus Joppich, Evi Sinn, Ralf Zimmer

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Felix OffenspergerInstitute of Bioinformatics, Department of Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, 80333 München, Germany.ORCID https://orcid.org/0000-0002-2304-6795
Markus JoppichInstitute of Bioinformatics, Department of Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, 80333 München, Germany.ORCID https://orcid.org/0000-0002-6665-8951
Evi SinnInstitute of Bioinformatics, Department of Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, 80333 München, Germany.ORCID https://orcid.org/0000-0002-0393-8120
Ralf ZimmerInstitute of Bioinformatics, Department of Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, 80333 München, Germany.ORCID https://orcid.org/0000-0003-1439-2327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing availability of high-dimensional, complex datasets demands analysis methods that are both interpretable and flexible. We introduce FlowSets, a novel framework for identifying and analysing flows-fuzzy, interpretable patterns-across multiple, diverse, and heterogeneous data sets. Views are constructed as an interpretation of biological features of the data sets by grouping absolute or relative values, summary statistics (such as fold changes or

Indexed as

Fuzzy LogicGene Expression ProfilingAlgorithmsClustering Algorithms

Identifiers

PMID42038406
PMCPMC13103740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.