Miquel Anglada-Girotto

The paper estimates splicing factor activity from exon inclusion changes, identifying cancer-related splicing programs and their association with patient survival and cancer hallmarks.

The paper uses single-cell perturbation screens to decode splicing factor regulatory networks, revealing cross-regulatory loops and MYC's role in linking cancer mutations to splicing regulation.

pyVIPER is a Python package for fast, scalable rank-based enrichment analysis of scRNA-seq data, offering significant runtime improvements over VIPER for large datasets.

The paper uses single-cell transcriptomes to reverse engineer splicing-regulatory networks specific to and orthogonal of neuron types, identifying key RNA-binding proteins and regulatory modules.

robustica computes robust independent components with customizable clustering and distance metrics, showing improved precision and efficiency in analyzing tumor samples.