Representation and quantification Of Module Activity from omics data with rROMA
Matthieu Najm, Matthieu Cornet, Luca Albergante, Andrei Y. Zinovyev, Isabelle Sermet‐Gaudelus, Véronique Stoven, Laurence Calzone, Loredana Martignetti
The paper introduces rROMA, a software package for computing gene set activity from omics data, and applies it to cystic fibrosis transcriptomic data to identify disease-related pathways and potential biases.
npj Systems Biology and Applications · Jan 19, 2024Peer-reviewedSystems Biology