Microbiome distribution modeling using gradient descent strategies for mock, in vitro and clinical community distributions.

ABSTRACT: The human gut is home to a complex array of microorganisms interacting with the host and each other, forming a community known as the microbiome. This community has been linked to human health and disease, but understanding the underlying interactions is still challenging for researchers. Standard studies typically use high-throughput sequencing to analyze microbiome distribution in patient samples. Recent advancements in meta-omic data analysis have enabled computational modeling strategies to integrate this information into an in silico model. However, there is a need for improved parameter fitting and data integration features in microbial community modeling. This study proposes a novel alternative strategy utilizing state-of-the-art dynamic flux balance analysis (dFBA) to provide a sim

SUBMITTER: Velasco-Alvarez JR 

PROVIDER: S-EPMC10441787 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature