BEEM-Static: Accurate inference of ecological interactions from cross-sectional microbiome data

BEEM-Static: Accurate inference of ecological interactions from cross-sectional microbiome data

The structure and function of diverse microbial communities is underpinned by ecological interactions that remain uncharacterized. With rapid adoption of next-generation sequencing for studying microbiomes, data-driven inference of microbial interactions based on abundance correlations is widely use...

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Bibliographic Details
Main Authors: Av-Shalom, T.V (Author), Chng, K.R (Author), Kwah, J.S (Author), Li, C. (Author), Nagarajan, N. (Author), Tan, J.W.G (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
area under the curve
Article
Bacteroides uniformis
Bacteroides vulgatus
benchmarking
biomass
Biomass
Clostridium
Clostridium hiranonis
coculture
Collinsella aerofaciens
correlational study
Cross-Sectional Studies
cross-sectional study
Datasets as Topic
Desulfovibrio
Desulfovibrio piger
ecology
ecosystem
Ecosystem
Eggerthella lenta
Eubacterium rectale
expectation-maximization algorithm
Gastrointestinal Microbiome
high throughput sequencing
human
Humans
information processing
intestine flora
mathematical model
metagenomics
microbial community
microbial interaction
microbiome
nonhuman
Prevotella copri
receiver operating characteristic
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