Zhou, W., R. M. Sailani, K. Contrepois, Y. Zhou, S. Ahadi, S. R. Leopold, M. J. Zhang, V. Rao, M. Avina, T. Mishra, et al., "Longitudinal multi-omics of host–microbe dynamics in prediabetes", Nature, vol. 569, issue 7758: Nature Publishing Group, pp. 663, 2019. Abstract

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Singhal, M., B. A. Turturice, C. R. Manzella, R. Ranjan, A. A. Metwally, J. Theorell, Y. Huang, W. A. Alrefai, P. K. Dudeja, and P. W. Finn, "Serotonin Transporter Deficiency is Associated with Dysbiosis and Changes in Metabolic Function of the Mouse Intestinal Microbiome", Scientific reports, vol. 9, issue 1: Nature Publishing Group, pp. 2138, 2019. Abstract
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Metwally, A. A., Y. S. Philip, D. Reiman, Y. Dai, P. W. Finn, and D. L. Perkins, "Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks", PLoS computational biology, vol. 15, issue 2: Public Library of Science, pp. e1006693, 2019. Abstract
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Chen, J., K. Li, K. Bilal, A. A. Metwally, K. Li, and P. Yu, "Parallel protein community detection in large-scale PPI networks based on multi-source learning", IEEE/ACM transactions on computational biology and bioinformatics: IEEE, 2018. Abstract
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Schott, C., S. S. Weigt, B. A. Turturice, A. Metwally, J. Belperio, P. W. Finn, and D. L. Perkins, "Bronchiolitis obliterans syndrome susceptibility and the pulmonary microbiome", The Journal of Heart and Lung Transplantation, vol. 37, issue 9: Elsevier, pp. 1131-1140, 2018. Abstract
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Alaa, A., and A. A. Metwally, "Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods", 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI): IEEE, pp. 198-201, 2018. Abstract
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Metwally, A. A., J. Yang, C. Ascoli, Y. Dai, P. W. Finn, and D. L. Perkins, "MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies", Microbiome, vol. 6, issue 1: BioMed Central, pp. 32, 2018. Abstract
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Reiman, D., A. A. Metwally, and Y. Dai, "Popphy-cnn: A phylogenetic tree embedded architecture for convolution neural networks for metagenomic data", bioRxiv: Cold Spring Harbor Laboratory, pp. 257931, 2018. Abstract
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Kwan, J. M., Z. Hajjiri, Y. F. Chen, A. Metwally, D. L. Perkins, and P. W. Finn, "Donor and Recipient Ethnicity Impacts Renal Graft Adverse Outcomes", Journal of racial and ethnic health disparities, vol. 5, no. 5: Springer International Publishing, pp. 1003–1013, 2018. Abstract
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Reiman, D., A. Metwally, and Y. Dai, "Using convolutional neural networks to explore the microbiome", 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 4269–4272, 2017. Abstract
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