Our partners at the University of Torino announce the publication of a COLOSSUS-acknowledged paper in the journal Bioinformatics in May 2023. The paper is titled:  CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system.

We developed CONNECTOR, a data-driven framework able to analyze and inspect longitudinal data in a straightforward and revealing way. When used to analyze tumor growth kinetics over time in 1599 patient-derived xenograft growth curves from ovarian and colorectal cancers, CONNECTOR allowed the aggregation of time-series data through an unsupervised approach in informative clusters. We give a new perspective of mechanism interpretation, specifically, we define novel model aggregations and we identify unanticipated molecular associations with response to clinically approved therapies.

CONNECTOR is freely available under GNU GPL license at https://qbioturin.github.io/connector and https://doi.org/10.17504/protocols.io.8epv56e74g1b/v1.

Congratulations to all authors/researchers: Simone Pernice, Roberta Sirovich, Elena Grassi, Marco Viviani, Martina Ferri, Francesco Sassi, Luca Alessandrı, Dora Tortarolo, Raffaele A. Calogero, Livio Trusolino, Andrea Bertotti, Marco Beccuti, Martina Olivero, & Francesca Cordero.

Pernice S, Sirovich R, Grassi E, Viviani M, Ferri M, Sassi F, Alessandrì L, Tortarolo D, Calogero RA, Trusolino L, Bertotti A, Beccuti M, Olivero M, Cordero F. CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system. Bioinformatics. 2023 May 4;39(5):btad201. DOI: 10.1093/bioinformatics/btad201. PMID: 37079732; PMCID: PMC10159654.