Article

Incorporating metabolic activity, taxonomy and community structure to improve microbiome-based predictive models for host phenotype prediction

2023-01-21

Abstract excerpt

We developed MicroKPNN, a prior-knowledge guided interpretable neural network for microbiomebased human host phenotype prediction. The prior-knowledge used in MicroKPNN includes the metabolic activities of different bacterial species, phylogenetic relationships, and bacterial community structure. Application of MicroKPNN to seven gut microbiome datasets (involving five different human diseases including inflammato...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 467030f7-785c-5c88-b182-1171cb91db7f
DOI: 10.1101/2023.01.20.524948

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Incorporating metabolic activity, taxonomy and community structure to improve microbiome-based predictive models for host phenotype predictionDOI 10.1101/2023.01.20.524948Read

Incorporating metabolic activity, taxonomy and community structure to improve microbiome-based predictive models for host phenotype prediction.Semantic proximity Read

Multitask Knowledge-primed Neural Network for Predicting Missing Metadata and Host Phenotype based on Human MicrobiomeSemantic proximity Read

DeepBiome: a phylogenetic tree informed deep neural network for microbiome data analysisSemantic proximity Read

Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach.Semantic proximity Read

Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseasesSemantic proximity Read

A universal taxonomic and functional human gut microbiome model for disease classification and phenotype discoverySemantic proximity Read

Deep learning and host variable embedding augment microbiome-based simultaneous detection of multiple diseasesSemantic proximity Read

MiMeNet: Exploring Microbiome-Metabolome Relationships using Neural NetworksSemantic proximity Read

Gene Ontology informed neural network model for microbe functionality discovery in human diseasesSemantic proximity Read

Deep learning methods in metagenomics: a reviewSemantic proximity Read

BiomeGPT: A foundation model for the human gut microbiomeSemantic proximity Read

Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut MicrobiomeSemantic proximity Read