ArticleEURASIP journal on bioinformatics & systems biology2013
Bayesian methods for expression-based integration of various types of genomics data.
Article in EURASIP journal on bioinformatics & systems biology, 2013. 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.
- Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Clinicogenomic Data.Journal of the American Statistical Association · 2024Article
- A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.Briefings in bioinformatics · 2020Review
- A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification.GigaScience · 2019Article
- From systems biology to P4 medicine: applications in respiratory medicine.European respiratory review : an official journal of the European Respiratory Society · 2018Review
- Bayesian variable selection with graphical structure learning: Applications in integrative genomics.PloS one · 2018Article
- Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions.European journal of human genetics : EJHG · 2017Article
- Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration.Statistical modelling · 2017Article
- More Is Better: Recent Progress in Multi-Omics Data Integration Methods.Frontiers in genetics · 2017Review
- Integrating multidimensional omics data for cancer outcome.Biostatistics (Oxford, England) · 2016Article
- Association of CpG island methylator phenotype and EREG/AREG methylation and expression in colorectal cancer.British journal of cancer · 2016Article
- Evaluation of hierarchical models for integrative genomic analyses.Bioinformatics (Oxford, England) · 2016Article
- Embracing Integrative Multiomics Approaches.International journal of genomics · 2016Review
- Integrative Analysis of Multi-modal Correlated Imaging-Genomics Data in Glioblastoma.IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics · 2013Article
- The Application of Bayesian Methods in Cancer Prognosis and Prediction.Cancer genomics & proteomicsReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
: We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian analysis framework that incorporates the biological relationships among the platforms to identify genes whose expression is related to clinical outcomes in cancer. This integrated approach combines information across all platforms, leading to increased statistical power in finding these predictive genes, and further provides mechanistic information about the manner in which the gene affects the outcome. We demonstrate the advantages of the shrinkage estimation used by this approach through a simulation, and finally, we apply our method to a Glioblastoma Multiforme dataset and identify several genes potentially associated with the patients' survival. We find 12 positive prognostic markers associated with nine genes and 13 negative prognostic markers associated with nine genes.
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Registered trials
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