12 citations · 84 across the 25 of their papers we have counts for
12 papers · 1 filter
UMAP-assisted -means clustering of large-scale SARS-CoV-2 mutation datasets
Yuta Hozumi, Rui Wang, Changchuan Yin +1
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a worldwide devastating effect. The understanding of evolution and tr…
HERMES: Persistent spectral graph software
Rui Wang, Rundong Zhao, Emily Ribando-Gros +3
Persistent homology (PH) is one of the most popular tools in topological data analysis (TDA), while graph theory has had a significant impact on data science. Our earlier work intr…
Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies
Jiahui Chen, Kaifu Gao, Rui Wang +1
Antibody therapeutics and vaccines are among our last resort to end the raging COVID-19 pandemic. They, however, are prone to over 5,000 mutations on the spike (S) protein uncovere…
Host immune response driving SARS-CoV-2 evolution
Rui Wang, Yuta Hozumi, Yong-Hui Zheng +2
The transmission and evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are of paramount importance to the controlling and combating of coronavirus disease 2…
Characterizing SARS-CoV-2 mutations in the United States
Rui Wang, Jiahui Chen, Kaifu Gao +3
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been mutating since it was first sequenced in early January 2020. The genetic variants have developed into a fe…
Decoding asymptomatic COVID-19 infection and transmission
Rui Wang, Yuta Hozumi, Changchuan Yin +1
Coronavirus disease 2019 (COVID-19) is a continuously devastating public health and the world economy. One of the major challenges in controlling the COVID-19 outbreak is its asymp…