Mapping the ecological networks of microbial communities is a necessary step toward understanding their assembly rules and predicting their temporal behavior. However, existing methods require assuming a particular population dynamics model, which is not known a priori. Moreover, those methods require fitting longitudinal abundance data, which are often not informative enough for reliable inference. To overcome these limitations, here we develop a new method based on steady-state abundance data. Our method can infer the network topology and inter-taxa interaction types without assuming any particular population dynamics model. Additionally, when the population dynamics is assumed to follow the classic Generalized Lotka–Volterra model, our m...
The ecological forces that govern the assembly and stability of the human gut microbiota remain unre...
Modulation of interspecies interactions by the presence of neighbor species is a key ecological fact...
<div><p>16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide snapshot...
Trabajo presentado en el Networks 2021: A Joint Sunbelt and NetSci Conference (2021), celebrado onli...
Trabajo presentado en la Complex Networks (10th International Conference on Complex Networks and the...
Human associated microbial communities exert tremendous influence over human health and disease. Wit...
Dynamic changes in microbial communities play an important role in human health and disease. Specifi...
Population dynamic models can be used in conjunction with time series of species abundances to infer...
<div><p>Human associated microbial communities exert tremendous influence over human health and dise...
Abstract Background Growth rates, interactions between community members, stochasticity, and immigra...
Inference of microbial interaction types allows us to understand the growth and development of micro...
<p>Used input data are the temporal records of microbial total abundances (colored bars on left) and...
Although microbial communities are ubiquitous in nature, relatively little is known about the struct...
Although microbial communities are ubiquitous in nature, relatively little is known about the struct...
We show that inferring the taxa-abundance distribution of a microbial community from small environme...
The ecological forces that govern the assembly and stability of the human gut microbiota remain unre...
Modulation of interspecies interactions by the presence of neighbor species is a key ecological fact...
<div><p>16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide snapshot...
Trabajo presentado en el Networks 2021: A Joint Sunbelt and NetSci Conference (2021), celebrado onli...
Trabajo presentado en la Complex Networks (10th International Conference on Complex Networks and the...
Human associated microbial communities exert tremendous influence over human health and disease. Wit...
Dynamic changes in microbial communities play an important role in human health and disease. Specifi...
Population dynamic models can be used in conjunction with time series of species abundances to infer...
<div><p>Human associated microbial communities exert tremendous influence over human health and dise...
Abstract Background Growth rates, interactions between community members, stochasticity, and immigra...
Inference of microbial interaction types allows us to understand the growth and development of micro...
<p>Used input data are the temporal records of microbial total abundances (colored bars on left) and...
Although microbial communities are ubiquitous in nature, relatively little is known about the struct...
Although microbial communities are ubiquitous in nature, relatively little is known about the struct...
We show that inferring the taxa-abundance distribution of a microbial community from small environme...
The ecological forces that govern the assembly and stability of the human gut microbiota remain unre...
Modulation of interspecies interactions by the presence of neighbor species is a key ecological fact...
<div><p>16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide snapshot...