Evidence map›Paper›PMID 37430364›Full record

ArticleGenome biology2023

CimpleG: finding simple CpG methylation signatures.

Tiago Maié, Marco Schmidt, Myriam Erz, Wolfgang Wagner, Ivan G Costa

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Tiago Maié *Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany. tiagomaie@hotmail.com.
Marco Schmidt *Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 19, Aachen, 52074, NRW, Germany.
Myriam ErzInstitute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany.
Wolfgang WagnerHelmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 19, Aachen, 52074, NRW, Germany.
Ivan G CostaInstitute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany. ivan.costa@rwth-aachen.de.ORCID 0000-0003-2890-8697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation signatures are usually based on multivariate approaches that require hundreds of sites for predictions. Here, we propose a computational framework named CimpleG for the detection of small CpG methylation signatures used for cell-type classification and deconvolution. We show that CimpleG is both time efficient and performs as well as top performing methods for cell-type classification of blood cells and other somatic cells, while basing its prediction on a single DNA methylation site per cell type. Altogether, CimpleG provides a complete computational framework for the delineation of DNAm signatures and cellular deconvolution.

Indexed as

Protein Processing, Post-TranslationalMethylationNucleotide MotifsClinical applicationDeconvolutionDNA methylationSignature selection

Identifiers

PMID37430364
PMCPMC10332104

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.