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1. TES-FC TES-FC Public

   TES-FC (Therapeutic Efficacy Studies Failure Classifier) is a Nextflow pipeline for detecting treatment failure in malaria longitudinal studies using genomic data analysis and machine learning.

   R

2. ML_disease_prediction_microbiome ML_disease_prediction_microbiome Public

   Disease Prediction Using Machine Learning on Microbiome Data

   Jupyter Notebook 2

3. ML_Allergen_Classifier ML_Allergen_Classifier Public

   A machine learning model to identify protein allergens from amino acid sequences

   Jupyter Notebook 1

4. microbiome-interpol-hotspots microbiome-interpol-hotspots Public

   A spatial analysis workflow demonstrating interpolation, hotspot detection and community composition analysis using real microbiome data from the Earth Microbiome Project.

   HTML

5. microbiome-spatial-analysis microbiome-spatial-analysis Public

   A comprehensive R pipeline for modeling microbial diversity patterns using real environmental data layers, spatial statistics and machine learning approaches.

   HTML

6. network-analysis-of-microbiomes network-analysis-of-microbiomes Public

   Network ecology workflow demonstrating co-occurrence pattern analysis, network topology comparison, and community structure visualization using real microbiome data from the Earth Microbiome Project.