Multi-Omics Factor Analysis

factor models for omics data

Work with trained factor models in Python

Differential Expression Analysis of protein, Gene set enrichment analysis, Multi-omic factor analysis, Pathway analysis, WGCNA

Nextflow pipeline integrating TCGA multi-omics with MOFA and downstream LASSO to reveal tissue-specific oncogene selection pressures

This project optimizes task allocation in Fog and Cloud Computing environments using multi-objective optimization techniques. It computes and analyzes Pareto fronts using MOCS and MOFA algorithms. The project includes Jupyter notebooks for data preparation, Pareto front calculation, and solution analysis.

High-performance multi-omics integration: VCF · RNA-seq · methylation · proteomics · scRNA-seq → HTML/JSON reports, real-time TUI. Written in Rust.

🌊 Enhance deep learning models with Flow Matching Mixture of Experts (FM-MoE) for improved capacity and expressiveness using PyTorch.

Documentation analysis and manuscript figures

Documentation analysis and manuscript figures of QuRIE-seq methods paper.

MOFA+ (Multi-Omics Factor Analysis) online tool

🧬 Workshop in omics integration and systems biology

A modular Nextflow pipeline for multi-omics integration, survival machine learning, and automated reporting.

🔍 Explore multi-omics integration with DIABLO, DIVAS, and VAEs, providing clear methods for combining diverse data without implying causation.

Working through the Seurat(scRNA), MOFA(multi-omics integration), and MNIST(machine learning) tutorials