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Article Abstract
Integrating multi-omics data in one model can increase statistical power. However, designing such a model is challenging because different omics are measured at different levels. We developed the iNETgrate package (https://bioconductor.org/packages/iNETgrate/) that efficiently integrates transcriptome and DNA methylation data in a single gene network. Applying iNETgrate on five independent datasets improved prognostication compared to common clinical gold standards and a patient similarity network approach.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462231 | PMC |
| http://dx.doi.org/10.21203/rs.3.rs-3246325/v1 | DOI Listing |
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