1 citations · 1 across the 2 of their papers we have counts for
2 papers
q-bio.QM2019
Prediction and optimization of NaV1.7 inhibitors based on machine learning methods
Weikaixin Kong, Xinyu Tu, Zhengwei Xie +1
We used machine learning methods to predict NaV1.7 inhibitors and found the model RF-CDK that performed best on the imbalanced dataset. Using the RF-CDK model for screening drugs,…
q-bio.GN2019★ 1 cited
Identification of key genes related to the mechanism and prognosis of lung squamous cell carcinoma using bioinformatics analysis
Miaomiao Gao, Weikaixin Kong, Zhuo Huang +1
Objectives Lung squamous cell carcinoma (LUSC) often diagnosed as advanced with poor prognosis. The mechanisms of its pathogenesis and prognosis require urgent elucidation. This st…