Evidence map›Paper›PMID 40740520›Full record

ArticleArXiv2025

BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool.

Vicente Ramos, Sundous Hussein, Mohamed Abdel-Hafiz, Arunangshu Sarkar, Weixuan Liu, Katerina J Kechris, Russell P Bowler, Leslie Lange, Farnoush Banaei-Kashani

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Vicente RamosComputer Science and Engineering, University of Colorado Denver.
Sundous HusseinComputer Science and Engineering, University of Colorado Denver.
Mohamed Abdel-HafizComputer Science and Engineering, University of Colorado Denver.
Arunangshu SarkarBiostatistics and Bioinformatics, University of Colorado Anschutz Medical Campus.
Weixuan LiuBiostatistics and Bioinformatics, University of Colorado Anschutz Medical Campus.
Katerina J KechrisBiostatistics and Bioinformatics, University of Colorado Anschutz Medical Campus.
Russell P BowlerGenomic Medicine Institute, Cleveland Clinic Main Campus.
Leslie LangeBiomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus.
Farnoush Banaei-KashaniComputer Science and Engineering, University of Colorado Denver.

Funding

Multi-omic networks associated with COPD progression in TOPMed CohortsR01HL152735 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BANAEI-KASHANI, FARNOUSH, BOWLER, RUSSELL PAUL · 2020 to 2023
$3.1M
NHLBI NIH HHS R01 HL152735
6 · The paper itself

Abstract

Multi-omics data offer unprecedented insights into complex biological systems, yet their high dimensionality, sparsity, and intricate interactions pose significant analytical challenges. Network-based approaches have advanced multi-omics research by effectively capturing biologically relevant relationships among molecular entities. While these methods are powerful for representing molecular interactions, there remains a need for tools specifically designed to effectively utilize these network representations across diverse downstream analyses. To fulfill this need, we introduce

Identifiers

PMID40740520
PMCPMC12310135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.