ArticleWiley interdisciplinary reviews. Computational statistics
Integrative clustering methods for multi-omics data.
Article in Wiley interdisciplinary reviews. Computational statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Bridging Organ-on-a-Chip and Omics: A Multi-Dimensional Frontier in Biomedical Research.Biotechnology and bioengineering · 2026Review
- [Research progress of metabolomics in the pathogenesis and treatment of constipation in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Review
- A fast integrative clustering and feature selection approach for high-dimensional multiview data.Statistical methods in medical research · 2026Article
- Multi-omics insights into spondyloarthritis and psoriatic arthritis: integrating genomics, transcriptomics, proteomics, and the microbiome for immunological and clinical translation.Frontiers in immunology · 2026Review
- Hierarchical structure-guided high-dimensional multi-view clustering.Journal of multivariate analysis · 2026Article
- Multi-omics integration in allergy, viral infections and asthma: a comprehensive analysis of bioinformatics tools.Frontiers in bioinformatics · 2026Article
- Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci.International journal of obesity (2005) · 2025Article
- Placental DNA methylation key topics: sex- and cell-type specificity, mediation, multi-omics, and biomarker discovery.Epigenomics · 2025Review
- GAIN-BRCA: a graph-based AI-net framework for breast cancer subtype classification using multiomics data.Bioinformatics advances · 2025Article
- Reposition: Focalizing β-Alanine Metabolism and the Anti-Inflammatory Effects of Its Metabolite Based on Multi-Omics Datasets.International journal of molecular sciences · 2024Article
- Interactive molecular causal networks of hypertension using a fast machine learning algorithm MRdualPC.BMC medical research methodology · 2024Article
- Article
- Information-incorporated sparse convex clustering for disease subtyping.Bioinformatics (Oxford, England) · 2023Article
- Identifying subgroups of childhood obesity by using multiplatform metabotyping.Frontiers in molecular biosciences · 2023Article
- A general hypothesis of multistable systems in pathophysiology.F1000Research · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Integrative analysis of multi-omics data has drawn much attention from the scientific community due to the technological advancements which have generated various omics data. Leveraging these multi-omics data potentially provides a more comprehensive view of the disease mechanism or biological processes. Integrative multi-omics clustering is an unsupervised integrative method specifically used to find coherent groups of samples or features by utilizing information across multi-omics data. It aims to better stratify diseases and to suggest biological mechanisms and potential targeted therapies for the diseases. However, applying integrative multi-omics clustering is both statistically and computationally challenging due to various reasons such as high dimensionality and heterogeneity. In this review, we summarized integrative multi-omics clustering methods into three general categories:
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Registered trials
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.