Evidence map›Paper›PMID 41300698›Full record

ArticleGenes2025

Multi-Omics Data Integration for Improved Cancer Subtyping via Denoising Autoencoder-Based Multi-Kernel Learning.

Xiukun Yao, Tong Wang, Qi Yang, Jiawen Wang, Yao Qi, Tong Xu, Zhiwen Wei, Yuehua Cui, Hongyan Cao, Keming Yun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 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

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.

Xiukun YaoAcademy of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.
Tong WangShanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China.
Qi YangShanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China.
Jiawen WangAcademy of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.
Yao QiAcademy of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.
Tong XuShanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China.
Zhiwen WeiAcademy of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.
Yuehua CuiDepartment of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-8099-1753
Hongyan CaoShanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China.
Keming YunAcademy of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China.

Funding

Applied Basic Research Project of Shanxi Province 202303021211130Fundamental Research Program of Shanxi Province 202103021224233National Natural Science Foundation of China 82473739, 82130056, 82101980, 82072116Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project, National Key Research and Development Program of China 2022FC3300903, 2022YFC3302003Shanxi Province Research Funding Project for Returned Overseas Scholars 2024-081
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningGenomicsGliomaKidney NeoplasmsNeoplasmsAutoencoderBiomarkers, TumorComputational BiologyHumansMultiomicsPrognosisBiomarkers, Tumordeep learningdenoising autoencoderhierarchical multi-kernel learningmulti-omics data integrationsubtypes identification

Identifiers

PMID41300698
PMCPMC12652543

What Socratic 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 Socratic graph.