Canping Chen

Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach

Mengyuan Li, Zhilan Zhang, Wenxiu Cao et al. · The Science of The Total Environment · 2020 · 101 citations · Full text

Novel Factors, Machine Learning Approach, Predictive Analytics +9

Enhancement and destruction of antibody function by somatic mutation: unequal occurrence is controlled by V gene combinatorial associations.

Canping Chen, Victoria A. Roberts, Susan L. Stevens et al. · The EMBO Journal · 1995 · 38 citations · Full text

Immunogenetics, Somatic Mutation, Somatic Variant +10

DITHER: an algorithm for Defining IntraTumor Heterogeneity based on EntRopy

Lin Li, Canping Chen, Xiaosheng Wang · Briefings in Bioinformatics · 2021 · 24 citations

Engineering, Pathology, Cancer Biology +22

Predicting the epidemic trend of COVID-19 in China and across the world using the machine learning approach

Mengyuan Li, Zhilan Zhang, Shanmei Jiang et al. · 2020 · 23 citations · Full text

Machine Learning Approach, Epidemiological Dynamic, Covid-19 Outbreak +22

<i>KALRN</i> mutations promote antitumor immunity and immunotherapy response in cancer

Mengyuan Li, Yuxiang Ma, You Zhong et al. · Journal for ImmunoTherapy of Cancer · 2020 · 22 citations · Full text