A deep learning tool, PopPhy-CNN, has been developed for the task of predicting host phenotypes using a convolutional neural network (CNN).

Abstract · Introduction · Methods · References

A deep learning tool, PopPhy-CNN, has been developed for the task of predicting host phenotypes using a convolutional neural network (CNN). By representing ...

A deep learning tool, PopPhy-CNN, has been developed for the task of predicting host phenotypes using a convolutional neural network (CNN). By representing ...

The underlying methodology, architecture, and core utility of PopPhy-CNN, a deep learning tool developed for the task of predicting host phenotypes using a ...

Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach ... Using convolutional neural networks to explore the microbiome.

Oct 6, 2022 · PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data.

Jan 12, 2024 · We developed MicroKPNN, a prior-knowledge guided interpretable neural network for microbiome-based human host phenotype prediction.

Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach. Chapter number, 12. Book title. Artificial Neural Networks.

Feb 10, 2024 · PopPhy-CNN: a phylogenetic tree embedded architecture for convolutional neural networks to predict host phenotype from metagenomic data.