"iNETgrate": integrating DNA methylation and gene expression data in a single gene network

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Integrating multi-omics data, such as transcriptome and DNA methylation, can enhance statistical power in biological research.
• Designing integrated models is challenging due to the heterogeneity of different omics data types.
• Existing methods may not fully leverage the potential of combined multi-omics data for complex biological questions.

Conclusions:

• iNETgrate provides an effective solution for integrating multi-omics data.
• The package enhances biological insights and predictive capabilities, particularly in cancer prognostication.
• This approach offers a powerful tool for researchers working with complex genomic and epigenomic datasets.