Laurent Tichit

The paper infers cell cycle phases from a partially temporal network of protein interactions in budding yeast, showing that partial temporal data can reveal temporal organization.

The paper develops a logical model of Fe-S cluster biogenesis in E. coli to analyze how environmental stressors like iron deprivation and oxidative stress regulate this process.

MOGAMUN identifies active modules in multiplex biological networks by optimizing interaction density and node scores, outperforming existing methods in interpretability and handling multiplex data.

YAAT identifies functionally-related gene groups by integrating co-expression and phylogenetic conservation data, revealing biases in gene set enrichment interpretation.

The paper extends the random walk with restart algorithm to multiplex and heterogeneous biological networks to improve disease gene prediction.