bio-workflows-multi-omics-pipeline

Integrate multi-omics data for patient stratification by loading transcriptomics, proteomics, and metabolomics datasets into an end-to-end pipeline that discovers shared biological signals across modalities.

Run unsupervised and supervised multi-omics integration together using a workflow that applies MOFA2, DIABLO, and SNF to handle data harmonization, feature selection, and cross-modality factor interpretation.

Yes, you can use MOFA2 and mixOmics for cross-modal pathway interpretation by applying their factor interpretation and feature selection capabilities to uncover shared biology across multiple omics layers.

SNF integrates transcriptomics and proteomics datasets by fusing similarity networks across modalities, enabling the discovery of shared biological signals and accurate patient stratification.

Data harmonization is handled within the multi-omics integration workflow itself, ensuring cross-modality datasets are properly aligned before feature selection and downstream analyses are executed.