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Investigative Ophthalmology & Visual Science|June 18, 2025
Machine Learning Identifies Key Gene Markers Related to Fetal Retina Development at Single-Cell Transcription LevelJiyu Zhang, Tong Du, Yiqing Jin, et al.Plos One|March 5, 2013
Predicting chemical toxicity effects based on chemical-chemical interactionsLei Chen, Jing Lu, Jian Zhang, et al.Genes|March 15, 2018
Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning AlgorithmsDeling Wang, Jia-Rui Li, Yu-Hang Zhang, et al.Frontiers in Neuroscience|May 19, 2022
Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer's DiseaseZhanDong Li, Wei Guo, Tao Zeng, et al.Frontiers in Microbiology|April 3, 2023
Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methodsJing Li, JingXin Ren, HuiPing Liao, et al.Journal of Biomolecular Structure & Dynamics|January 25, 2015
A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysisYou Zhou, Ning Zhang, Bi-Qing Li, et al.Molecular Immunology|December 19, 2024
Recognizing SARS-CoV-2 infection of nasopharyngeal tissue at the single-cell level by machine learning methodYuSheng Bao, QingLan Ma, Lei Chen, et al.Biochimica Et Biophysica Acta. General Subjects|October 7, 2023
Identifying genes associated with resistance to KRAS G12C inhibitors via machine learning methodsXiandong Lin, QingLan Ma, Lei Chen, et al.Proteomics|September 26, 2024
Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning TechniquesQingLan Ma, Mei Meng, XianChao Zhou, et al.Life (Basel, Switzerland)|May 27, 2026
Machine Learning-Based Identification of Candidate Serum miRNA Features for Pan-Cancer and Cancer Type ClassificationKaiyan Feng, Yusheng Bao, Jingxin Ren, et al.Pageof 31