Publications

Integrating Multiple Data Sources and Learning Models to Predict Infectious Diseases in China

Published in AMIA 2019 Summit, 2018

Goal: infectious disease(flu, HFRS, mumps etc.) morbidity rate prediction. More specific: compared to traditional infeactious disease prediction which mainly focus on historical morbidity incidences, our research uses multimodal deep learning, combining info from morbidity history, weather, air quality and search engine/ social network trend. And the result(avg MAPE ~12%) greatly outperforms traditional ML method(ARIMA, xgboost etc). Role: three-month research, working as the major contributor.

Role of plant MicroRNA in cross-species regulatory networks of humans

Published in BMC Systems Biology, 2016

Background: plant microRNAs have been found still active after digestion. Goal: exploratory research about whether exogenous miRNA derived from vegetables will have impact on human in RNA interaction level. More specific: computational prediction of the influence of plant microRNA on human RNA expression level in different organs(stomach, kidney, liver etc). Future Exploration: may aim at exploring the influence of GMO(genetically modified organisms) food on human.Role: three-year research, working as the main contributor.

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Published: February 22, 2024