ArticleGenomics2016
Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis.
Article in Genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Statistical genomics in rare cancer.Seminars in cancer biology · 2020Pooled it
- Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023Review
- HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES.Statistica Sinica · 2023Article
- Omics approaches to understanding the efficacy and safety of disease-modifying treatments in multiple sclerosis.Frontiers in genetics · 2023Review
- A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- Multidimensional molecular measurements-environment interaction analysis for disease outcomes.Biometrics · 2022Article
- Article
- Connecting omics signatures and revealing biological mechanisms with iLINCS.Nature communications · 2022Article
- A novel 7 RNA-based signature for prediction of prognosis and therapeutic responses of wild-type BRAF cutaneous melanoma.Biological procedures online · 2022Article
- Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View.International journal of molecular sciences · 2022Review
- The Immunogenetics of Melanoma.Advances in experimental medicine and biology · 2022Article
- Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion.Statistics in medicine · 2021Article
- Vertical integration methods for gene expression data analysis.Briefings in bioinformatics · 2021Review
- Integration of Proteomics and Other Omics Data.Methods in molecular biology (Clifton, N.J.) · 2021Article
- L Antigen Family Member 3 Serves as a Prognostic Biomarker for the Clinical Outcome and Immune Infiltration in Skin Cutaneous Melanoma.BioMed research international · 2021Article
- Integrative Analysis of Multi-Omics Data Based on Blockwise Sparse Principal Components.International journal of molecular sciences · 2020Article
- Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study.Bioinformatics (Oxford, England) · 2020Article
- Combining texture features of whole slide images improves prognostic prediction of recurrence-free survival for cutaneous melanoma patients.World journal of surgical oncology · 2020Article
- Integrative analysis of DNA methylation and gene expression in papillary renal cell carcinoma.Molecular genetics and genomics : MGG · 2020Article
- Structured Analysis of the High-dimensional FMR Model.Computational statistics & data analysis · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Multiple types of genetic, epigenetic, and genomic changes have been implicated in cutaneous melanoma prognosis. Many of the existing studies are limited in analyzing a single type of omics measurement and cannot comprehensively describe the biological processes underlying prognosis. As a result, the obtained prognostic models may be less satisfactory, and the identified prognostic markers may be less informative. The recently collected TCGA (The Cancer Genome Atlas) data have a high quality and comprehensive omics measurements, making it possible to more comprehensively and more accurately model prognosis. In this study, we first describe the statistical approaches that can integrate multiple types of omics measurements with the assistance of variable selection and dimension reduction techniques. Data analysis suggests that, for cutaneous melanoma, integrating multiple types of measurements leads to prognostic models with an improved prediction performance. Informative individual markers and pathways are identified, which can provide valuable insights into melanoma prognosis.
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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.