Evidence map›Paper›PMID 35811829›Full record

ArticleFrontiers in big data2022

Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification.

Mohamed Abdel-Hafiz, Mesbah Najafi, Shahab Helmi, Katherine A Pratte, Yonghua Zhuang, Weixuan Liu, Katerina J Kechris, Russell P Bowler, Leslie Lange, Farnoush Banaei-Kashani

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in big data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

10 authors at 4 institutions in 1 country.

Mohamed Abdel-HafizBig Data Management and Mining Laboratory, Department of Computer Science and Engineering, College of Engineering, Design and Computing, University of Colorado Denver, Denver, CO, United States.
Mesbah NajafiDepartment of Mathematics, College of Liberal Arts and Sciences, University of Colorado Denver, Denver, CO, United States.
Shahab HelmiBig Data Management and Mining Laboratory, Department of Computer Science and Engineering, College of Engineering, Design and Computing, University of Colorado Denver, Denver, CO, United States.
Katherine A PratteNational Jewish Health, Denver, CO, United States.
Yonghua ZhuangDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Weixuan LiuDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Katerina J KechrisDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Russell P BowlerNational Jewish Health, Denver, CO, United States.
Leslie LangeDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Farnoush Banaei-KashaniBig Data Management and Mining Laboratory, Department of Computer Science and Engineering, College of Engineering, Design and Computing, University of Colorado Denver, Denver, CO, United States.
University of Colorado Denver · USColorado School of Public Health · USUniversity of Colorado Anschutz Medical Campus · USNational Jewish Health · US

Funding

Biomarker of Lung Disease in African AmericansR01HL137995 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL, KECHRIS-MAYS, KATHERINA · 2018 to 2021
$3.4M
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 HL137995NHLBI NIH HHS R01 HL152735
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death in the United States. COPD represents one of many areas of research where identifying complex pathways and networks of interacting biomarkers is an important avenue toward studying disease progression and potentially discovering cures. Recently, sparse multiple canonical correlation network analysis (SmCCNet) was developed to identify complex relationships between omics associated with a disease phenotype, such as lung function. SmCCNet uses two sets of omics datasets and an associated output phenotypes to generate a multi-omics graph, which can then be used to explore relationships between omics in the context of a disease. Detecting

Indexed as

graph clusteringLouvainmulti-omics graphPageRanksubgraph detection

Identifiers

PMID35811829
PMCPMC9256965
OpenAlexW4283263556

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.