Ordering taxa in image convolution networks improves microbiome-based machine learning accuracy

Keyphrases

• Microbiome 100%
• Machine Learning Accuracy 100%
• Convolution Network 100%
• Image Convolution 100%
• Machine Learning 30%
• Sequence-based 20%
• State-of-the-art Techniques 10%
• Sparsity 10%
• Graph Representation 10%
• Gene Sequencing 10%
• Machine Learning Based 10%
• Small Size Sample 10%
• Data Representation 10%
• Convolutional Neural Network 10%
• Biomarker Development 10%
• Multiple Diseases 10%
• Artificial Intelligence Algorithm 10%
• Cladogram 10%
• Disease Etiology 10%
• 16S rRNA Gene Sequencing 10%
• Human Gut Microbiota 10%
• Explainable Artificial Intelligence 10%
• Ordering Schemes 10%
• Multiple Conditions 10%
• Shotgun Proteomics 10%
• Uniform Representation 10%
• Microbial Taxonomy 10%

Biochemistry, Genetics and Molecular Biology

• Taxon 100%
• Microbiome 100%
• Gene Sequence 18%
• Metagenomics 9%
• Artificial Intelligence 9%
• Translating (Language) 9%
• 16S Ribosomal RNA 9%

Immunology and Microbiology

• Microbiome 100%
• Taxon 100%
• Gene Sequence 20%
• Metagenomics 10%
• Gut Microbiome 10%
• Artificial Intelligence 10%