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Life (Basel, Switzerland)|July 29, 2025
Unveiling Immune Response Mechanisms in Mpox Infection Through Machine Learning Analysis of Time Series Gene Expression DataQinglan Ma, Xianchao Zhou, Lei Chen, et al.Journal of Biomolecular Structure & Dynamics|February 6, 2016
Identification of new candidate drugs for lung cancer using chemical-chemical interactions, chemical-protein interactions and a K-means clustering algorithmJing Lu, Lei Chen, Jun Yin, et al.Frontiers in Molecular Biosciences|May 27, 2022
Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning MethodsZhandong Li, Zi Mei, Shijian Ding, et al.Molecular Diversity|May 29, 2008
Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteinsBing Niu, Yu-Huan Jin, Kai-Yan Feng, et al.Plos One|January 28, 2014
Prediction of aptamer-target interacting pairs with pseudo-amino acid compositionBi-Qing Li, Yu-Chao Zhang, Guo-Hua Huang, et al.Molecular Biosystems|November 3, 2012
Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selectionYu-Fei Gao, Bi-Qing Li, Yu-Dong Cai, et al.Plos One|June 22, 2012
Prediction of protein domain with mRMR feature selection and analysisBi-Qing Li, Le-Le Hu, Lei Chen, et al.Protein and Peptide Letters|March 14, 2008
Predicting subcellular localization with AdaBoost LearnerYu-Huan Jin, Bing Niu, Kai-Yan Feng, et al.Biomed Research International|July 7, 2022
Analysis of Lymphoma-Related Genes with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes EnrichmentQiao Sun, Lin Bai, Shaopin Zhu, et al.Frontiers in Genetics|April 3, 2023
Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methodsHao Li, Qinglan Ma, Jingxin Ren, et al.Pageof 31