| DeepMicro |
Deep representation learning for disease prediction based on microbiome data. |
32265477 |
| MetAML |
Metagenomic prediction analysis based on machine learning. |
27400279 |
| Ph-CNN |
Phylogenetic convolutional neural networks in metagenomics. |
29536822 |
| PopPhy-CNN |
A phylogenetic tree-embedded architecture for convolutional neural networks to predict host phenotype from metagenomic data. |
32396115 |
| Predomics |
Interpretable and accurate prediction models for metagenomics data. |
32150601 |
| MegaD |
Deep learning for rapid and accurate disease status prediction of metagenomic samples. |
35629336 |
| CRC_analysis |
Increasing prediction performance of colorectal cancer disease status using random forests classification based on metagenomic shotgun sequencing data. |
35155839 |
| MVIB |
Microbiome-based disease prediction with multimodal variational information bottlenecks. |
35404958 |
| MetaDR |
Human disease prediction from microbiome data by multiple feature fusion and deep learning. |
35372808 |
| MEGMA |
Enhanced metagenomic deep learning for disease prediction and consistent signature recognition by restructured microbiome 2D representations. |
36699735 |
| MetaP |
A permutable MLP-like architecture for disease prediction from gut metagenomic data. |
39048979 |
| DeepMPTB |
A vaginal microbiome-based deep neural network as an artificial intelligence strategy for efficient preterm birth prediction. |
38355595 |
| G2S |
A deep learning tool designed to predict the structure of the human stool microbiome from oral microbiome data, aiding in studies where fecal samples are unavailable. |
33897763 |
| Preterm Birth Prediction Model |
Employs machine learning techniques to analyze oral microbiome compositions in mouthwash samples, predicting the risk of preterm birth. |
38036587 |