Leonor Saiz

The paper presents an ensemble model that improves predictions of perceptual similarity between odor mixtures using a curated dataset and collaborative challenge results.

The paper introduces a method to align genomic signals to multiple landmarks simultaneously, revealing conserved transcription patterns across different cell types and TSS positions.

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.