Weikaixin Kong (Jie Zhu)

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Acute Myeloid Leukemia

Convolutional Neural Network

Machine Learning

Top Venues

Journal of cellular and molecular medicine

International journal of molecular sciences

Nature biotechnology

This page only lists publications with an associated author ORCID identifier.

Publications

Weikaixin Kong, Jie Zhu, Suzhen Bi, Liting Huang, Peng Wu, Su-Jie Zhu
Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID-19 patients. iMeta 2 (3) (2023)
Weikaixin Kong, Jie Zhu, Suzhen Bi, Liting Huang, Peng Wu, Su-Jie Zhu
Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID-19 patients. iMeta 2 (3) (2023)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine 27 (2) (2022)
Sujie Zhu, Weikaixin Kong, Jie Zhu, Liting Huang, Shixin Wang, Suzhen Bi, Zhengwei Xie
The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma. Briefings in bioinformatics 23 (5) (2022)
Weikaixin Kong, Liye He, Jie Zhu, Oscar Brück, Kimmo Porkka, Caroline A Heckman, Sujie Zhu, Tero Aittokallio
An immunity and pyroptosis gene-pair signature predicts overall survival in acute myeloid leukemia. Leukemia 36 (10) (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine 27 (2) (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine 27 (2) (2022)
Xi Zhang, Weikaixin Kong, Miaomiao Gao, Weiran Huang, Chao Peng, Zhuo Huang, Zhengwei Xie, Hongyan Guo
Robust prognostic model based on immune infiltration-related genes and clinical information in ovarian cancer. Journal of cellular and molecular medicine 26 (13) (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine 27 (2) (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine (2022)
Weikaixin Kong, Weiran Huang, Chao Peng, Bowen Zhang, Guifang Duan, Weining Ma, Zhuo Huang
Multiple machine learning methods aided virtual screening of Na V 1.5 inhibitors. Journal of cellular and molecular medicine 27 (2) (2022)
Jie Zhu, Jingxiang Wang, Xin Wang, Mingjing Gao, Bingbing Guo, Miaomiao Gao, Jiarui Liu, Yanqiu Yu, Liang Wang, Weikaixin Kong, Yongpan An, Zurui Liu, Xinpei Sun, Zhuo Huang, Hong Zhou, Ning Zhang, Ruimao Zheng, Zhengwei Xie
Prediction of drug efficacy from transcriptional profiles with deep learning. Nature biotechnology 39 (11) (2021)
Jie Zhu, Weikaixin Kong, Zhengwei Xie
Expression and Prognostic Characteristics of Ferroptosis-Related Genes in Colon Cancer. International journal of molecular sciences 22 (11) (2021)
Liting Huang, Weikaixin Kong, Weikaixin Kong, Peifeng Li, Sujie Zhu
Expression and Prognostic Characteristics of m6A RNA Methylation Regulators in Colon Cancer. International journal of molecular sciences 22 (4) (2021)
Yiming Wang, Weikaixin Kong, Liang Wang, Tianyu Zhang, Boyue Huang, Jia Meng, Baoxue Yang, Zhengwei Xie, Hong Zhou
Multiple-Purpose Connectivity Map Analysis Reveals the Benefits of Esculetin to Hyperuricemia and Renal Fibrosis. International journal of molecular sciences 21 (20) (2020)