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Biomed Research International|July 26, 2021
Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning MethodsLei Chen, Zhandong Li, Tao Zeng, et al.
Frontiers in Genetics|November 22, 2021
Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function FeaturesLei Chen, ZhanDong Li, Tao Zeng, et al.
Frontiers in Cell and Developmental Biology|February 14, 2022
Identification of Novel Lung Cancer Driver Genes Connecting Different Omics Levels With a Heat Diffusion AlgorithmFei Yuan, Xiaoyu Cao, Yu-Hang Zhang, et al.
Combinatorial Chemistry & High Throughput Screening|June 1, 2018
Prediction of Nitrated Tyrosine Residues in Protein Sequences by Extreme Learning Machine and Feature Selection MethodsLei Chen, ShaoPeng Wang, Yu-Hang Zhang, et al.
Plos One|August 23, 2011
Predicting transcriptional activity of multiple site p53 mutants based on hybrid propertiesTao Huang, Shen Niu, Zhongping Xu, et al.
Scientific Reports|February 18, 2017
Identification of the core regulators of the HLA I-peptide binding processYu-Hang Zhang, Zhihao Xing, Chenglin Liu, et al.
Life (Basel, Switzerland)|June 28, 2023
Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody ActivityQing-Lan Ma, Fei-Ming Huang, Wei Guo, et al.
Frontiers in Cell and Developmental Biology|January 28, 2021
Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 InfectionYu-Hang Zhang, Hao Li, Tao Zeng, et al.
Plos One|July 20, 2016
Analysis of Gene Expression Profiles in the Human Brain Stem, Cerebellum and Cerebral CortexLei Chen, Chen Chu, Yu-Hang Zhang, et al.
Molecular Genetics and Genomics : MGG|April 29, 2021
Predicting gene phenotype by multi-label multi-class model based on essential functional featuresLei Chen, Zhandong Li, Tao Zeng, et al.
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