Integrative analysis of 115 transcriptomic studies decodes the molecular landscape of neurodevelopmental disorders

Transcriptome analysis of oilseed rape genotypes

SPOT - Swift Profiling Of Transcriptomes - a shiny app for gene ranking according to user-defined expression profiles

This repository contains the code for the project: Transcriptomic meta-analysis reveals up-regulation of gene expression functional in osteoclast differentiation in human septic shock

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

Differential expression analysis of cells infected with EBOV, RESTV, or mocks infected with culture medium

R codes for the article: "Comparison of Transcriptomic Changes in Younger and Older Multiple Myeloma Patients from the MMRF-CoMMpass Study RNA-Seq Data"

R scripts used to analyze single-nucleus RNA-seq data generated from in vitro differentiated pancreatic organoids, described in Huang, L. et al. 2021 (in press).

Genotype to phenotype prediction using transcriptomics and proteomics data.

Code, data, and figures for an experimental pathogen exposure study using wood frogs and American bullfrogs

Two gene signatures for detecting severe and cerebral malaria using blood samples

Half-baked convenience functions for common 'omics analyses.

Ligand-Receptor Interaction map based on scRNA-seq and pathway enrichment

Low coverage accessibility and transcriptomics

Reproducible scripts for (P. Carella et al) manuscript

supervised penalized CCA for three data sets (2 biological, 1 design)

Graphical User Interface using Shiny for RNA-seq analysis

This repository supports our 2025 manuscript, Single-Cell Resolution of Individual Variation in Hypothalamic Neurons Allows Targeted Manipulation Affecting Social Motivation

Intratumoral and microenvironmental landscape of meningioma

Database of pairwise consensuses for miR-mRNA target interactions