VISUAL IMAGE PROCESSING LABORATORY
A research project on computational vision science.

Funded by Generalitat Valenciana under grant AICO-2020-136 (VIPLab) and CIAICO/2022/051 (IMaLeVICS) 

IMaLeVICS at ISI 2025: Compositional Models and Software to Analyse Bacterial Dynamics

Oct 21, 2025 | Activity, Publications

IMaLeVICS at the World Statistics Congress

The 65th ISI World Statistics Congress (ISI 2025) took place in The Hague (Netherlands) from 13 to 17 July 2025, bringing together thousands of statisticians and data scientists from all over the world. The event is one of the most prestigious international forums for sharing advances in statistical theory, data science, and interdisciplinary applications.

Within the Invited Session “Statistical Tools for Microbiome-Based Biomarker Identification and Disease Prediction”, Irene Creus-Martí presented her work Compositional Models and Software to Analyse Bacterial Dynamics”, representing the IMaLeVICS research group.

Statistical tools for microbiome analysis

Her presentation focused on statistical models specifically designed to handle compositional and longitudinal microbiome data. These models aim to extract interpretable information from bacterial time series and to support the understanding of bacterial dynamics. The talk also introduced the R package CoDaLoMic, developed to implement these models in real datasets and make them accessible to the broader scientific community.

🔗 Explore CoDaLoMic on CRAN

Building international collaborations

This invited session was organised by Marta Ávalos Fernández (University of Bordeaux)and featured contributions from Simon Labarthe (University of Bordeaux), Antonin Colajanni (University of Bordeaux) and Cristian Meza (Universidad de Valparaíso). The exchange fostered new collaborations between IMaLeVICS, the University of Valencia, the Universitat Politècnica de València, and international partners in France and Chile.

These networks reflect the group’s mission to combine statistical innovation, software development, and biological insight — advancing towards interpretable and reproducible science.

IMaLeVICS thanks the International Statistical Institute for hosting this inspiring congress and all colleagues who made this session possible.