Evidence map›Paper›PMID 40137139›Full record

ArticleMetabolites2025

A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics.

Hunter Dlugas, Seongho Kim

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

2 authors.

Hunter DlugasBiostatistics and Bioinformatics Core, Karmanos Cancer Institute, Detroit, MI 48201, USA.ORCID 0000-0002-6819-0045
Seongho KimBiostatistics and Bioinformatics Core, Karmanos Cancer Institute, Detroit, MI 48201, USA.ORCID 0000-0003-1120-073X

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
MS-based metabolite identificationR21GM140352 · NIGMS · WAYNE STATE UNIVERSITY · PI KIM, SEONGHO · 2021 to 2022
$438k
NCI NIH HHS P30 CA022453NIGMS NIH HHS R21 GM140352This research was partially funded by NIH grants (National Institutes of Health R21GM140352) and (National Cancer Institute P30CA022453)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial neural networkBayesian neural networkbinary classificationconvolutional neural networkdeep learningKolmogorov-Arnold networkmachine learningmetabolomicsoncologyspiking neural network

Identifiers

PMID40137139
PMCPMC11944042

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.