Generative Adversarial Network augmented the gut microbiome-based health index by profoundly improved discrimination power

Summary Gut microbiome-based health index (GMHI) has been applied with success, while the discrimination powers of GMHI varied for different diseases, limiting its utility on a broad spectrum of diseases. In this work, a Generative Adversarial Network (GAN) model is proposed to improve the discrimination power of GMHI. Built based on the batch corrected data through GAN (), GAN-GMHI has largely reduced the batch effects, and profoundly improved the performance for distinguishing healthy individuals and different diseases. GAN-GMHI has provided results to support the strong association of gut microbiome and diseases, and indicated a more accurate venue towards microbiome-based disease monitoring. Availability and implementation GAN-GMHI is publicly available on GitHub: . Contact ningkang{at}hust.edu.cn Supplementary information Supplementary data are available at Bioinformatics online. ### Competing Interest Statement The authors have declared no competing interest.