SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

Explore the cancer relevance of your gene list

Functional Associations using Variational Autoencoders

Inferring gene co-expression networks from single cell gene expression data

Gene Co-expression Network analysis pipeline

Causal inference, differential expression, and co-expression for scRNA-seq

An R software for Gene Co-Expression Analysis

CoExp website is a web-based tool developed in .NET Core Framework, for querying 109 independent gene co-expression networks from the family of CoExp R packages.

SCANet is a python package that incorporates the inference of gene co-expression networks from single-cell gene expression data

Code accompanying the manuscript "Brain gene co-expression networks link complement signaling with convergent synaptic pathology in schizophrenia"

The gene CO-expression Browser

Object Icon, beginning from a migration to Git of the Subversion at https://sourceforge.net/p/objecticon/code/ For the original, use branch objecticon-last-svn-commit

Discovering cis-regulatory motifs in proximal promoters of plants in RSAT::Plants

Conserved and Comparative Co-expression across Diverse Species

Curated list of analysis pipelines for biological & clinical interpretation of data-driven findings

The COWAS (co-expression-wide association study) method identifies pairs of co-expressed proteins that are associated with disease.

Weighted Gene Co-expression Network Analysis;

Repository for all R scripts and results associated with my research dissertation for the MSc Bioinformatics and Computational Biology degree in University College Cork, 2022.

MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network

A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network