Combining RNAseq data and models in microbial ecology aims to reveal species interactions and improve health outcomes. However, data is often noisy, and inferred "interactions" are merely model-dependent correlations rather than direct biological mechanisms. This raises a crucial question: when inferring models from data, are complex models better, or is simplicity more effective?
We argue...
Population dynamics has traditionally focused on the study of what occurs in ecological regimes that only change their relationships quantitatively. However, populations that transition from one ecological regime to another, such as predation or parasitism shifting to mutualism, or vice versa, have been extensively documented in diverse ecological contexts. When population dynamics has...
During the last decades, macroecology has identified broad-scale patterns of abundances and diversity of microbial communities and put forward some potential explanations for them. However, these advances are not paralleled by a full understanding of the dynamical processes behind them. In particular, abundance fluctuations of different species are found to be correlated, both across time and...
Traditional drug efficacy assessment relies on cell viability and the IC$_{50}$ index. This index represents the concentration of drug required for cell viability to be 50%, i.e. the population of treated cells is half that of the control population. However, since early-stage cell populations follow Malthusian growth, viability is inherently time-dependent. This makes IC$_{50}$ a transient...
Complexity science and mathematical biology are closely related disciplines in terms of goals and approach. However, due to their independent historical development, the two fields largely follow parallel paths, with relatively limited interaction in conferences. Complexity science focuses on the use of mathematical models to understand global phenomena emerging from the low-level interactions...
