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- research-articleAugust 2022
Predicting diabetes in imbalanced datasets using neural networks
BCB '22: Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health InformaticsArticle No.: 57, Pages 1–10https://doi.org/10.1145/3535508.3545540Diabetes is a long-standing disease caused by high blood sugar over a long period of time and one in every ten Americans has diabetes. The neural networks have gained attention in large-scale genetic research because of its ability in non-linear ...
- posterAugust 2021Best Poster
The genetics of human aging: predicting age and age-related diseases by deep mining high dimensional biomarker data
BCB '21: Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health InformaticsArticle No.: 79, Page 1https://doi.org/10.1145/3459930.3469508Recent research efforts have shown compelling evidence of DNA methylation alterations in aging and age-related disease. The traditional formula of DNA methylation aging suffers from multiple hypothesis testing due to the interacting, high dimensional, ...
- research-articleMay 2021
Age Prediction by DNA Methylation in Neural Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 3Pages 1393–1402https://doi.org/10.1109/TCBB.2021.3084596<bold>A</bold>ging is traditionally thought to be caused by complex and interacting factors such as DNA methylation. The traditional formula of DNA methylation aging is based on linear models and little work has explored the effectiveness of neural ...