Ángel Rubio

A Systematic Identification of RBPs Driving Aberrant Splicing in Cancer

This paper develops an algorithm to identify RBPs associated with splicing changes in cancer using CLIP-seq and TCGA data, finding novel RBP-cancer type relationships.

BOSO: a novel feature selection algorithm for linear regression with high-dimensional data

BOSO is a novel feature selection algorithm for linear regression that outperforms existing methods in high-dimensional datasets, demonstrated through drug sensitivity prediction in cancer.

Identifying Lethal Dependencies with HUGE Predictive Power from Large-Scale Functional Genomic Screens

The paper improves prediction of lethal gene dependencies using the HUGE method, achieving 75x higher statistical power than existing methods in cancer genomics.

Comparison of RNA-seq and Microarray Platforms for Splice Event Detection using a Cross-Platform Algorithm

This study compares RNA-seq and junction arrays for detecting splice events using a cross-platform algorithm, finding RNA-seq superior for novel events but both coherent for known regions.