About the International Conference on Statistics and Data Science (ICSDS 2024)
From 18 to 21 June 2024, the city of Nice (France) hosted the International Conference on Statistics and Data Science (ICSDS 2024) — an event organised by the Institute of Mathematical Statistics that gathered statisticians and data scientists from around the world to discuss methodological advances and real-world applications.
Within the invited session “Challenges in Microbiome Data Analysis”, organised by Susana Eyheramendy (University Adolfo Ibáñez, Chile), Irene Creus-Martí represented the IMaLeVICS research group as Invited Speaker, presenting the talk “An R Package for Studying Microbiome Compositional Time Series.”
An R Package for Studying Microbiome Compositional Time Series
The human microbiome plays a crucial role in health and disease, yet its analysis remains challenging due to the compositional and high-dimensional nature of microbiome data. To address this complexity, IMaLeVICS researchers have developed CoDaLoMic, an open-source R package designed to model longitudinal microbiome datasets using compositional data analysis (CoDa) techniques.
CoDaLoMic enables the exploration of bacterial dynamics over time, offering interpretable insights into how microbial communities evolve and relate to health status. It provides a set of statistical and graphical tools that help researchers identify trends, variability, and temporal relationships within microbiome time series.
For further details, see the paper “Compositional dynamic models for bacterial time series” published in Computers in Biology and Medicine.
Scientific Impact
The presentation highlighted the growing relevance of compositional models in biological data analysis and the importance of open, interpretable methods in microbiome research. It also reflected IMaLeVICS’s ongoing collaboration with the University of Valencia and the Universitat Politècnica de València, strengthening the bridge between statistical modelling and biological interpretation.
For more on IMaLeVICS contributions to interpretable modelling, visit our activity and publications page.
We thank the ICSDS 2024 organisers for the opportunity to present our work in such an inspiring environment and to exchange ideas with leading researchers in data science, statistics, and microbiome analysis.