Nara Marella

A Rust accelerated library for annotation and preparing multi-omics data for training deep learning models

Tool for the reconstruction of context-specific metabolic models based on omics data from several sources

Code for Zhang, Wei, Slowikowski, Fonseka, Rao, et al, Nature Immunology, 2019. Single-cell transcriptomics and proteomics data analysis and integration for rheumatoid arthritis synovial tissue. These integrative strategies can be generalized to any other diseases.

MOFA (Multi-Omics Factor Analysis) is a computational framework and statistical method designed for the integration and analysis of multi-omics data.

"DNA methylation and gene expression integration in cardiovascular disease"

Discovering biomarkers for meningitis by multivariate integration of multi-omics and clinical data

data analytics & machine learning meet genetics @ AUC

Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.

Multi-omics differential expression and integration using PPI networks

Multimodal Variational Autoencoder dedicated to omics data integration

Cluster patient based on their multiomics data utilizing graph autoencoders

Analysis of proteomics datasets obtained from ChIP-SICAP experiments in HEK cells

DecoFlex deconvolution method for Omic data implemented as DecoFlexR

Bayesian survival models for high-dimensional data

This repository is the code source for the RegOmics tool - Regulatory extraction for Omics data.

R package to parse datasets into SQLite-friendly tables

diversity-based enumeration of optimal context-specific metabolic networks using the cobrapy library

Calculate correlation between two omics data