Fei Yuan

发表

Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.

Q. Zou, Lin Lu, Fei Yuan, 2020, Biochimica et biophysica acta. Molecular basis of disease.

Identifying Cell-Type Specific Genes and Expression Rules Based on Single-Cell Transcriptomic Atlas Data

Tao Zeng, Yu-Dong Cai, Tao Huang, 2020, Frontiers in Bioengineering and Biotechnology.

Analysis of Protein–Protein Functional Associations by Using Gene Ontology and KEGG Pathway

Yu-Dong Cai, Tao Huang, Lei Chen, 2019, BioMed research international.

Screening of Methylation Signature and Gene Functions Associated With the Subtypes of Isocitrate Dehydrogenase-Mutation Gliomas

Tao Zeng, Yu-Dong Cai, Tao Huang, 2019, Front. Bioeng. Biotechnol..

HIV infection alters the human epigenetic landscape

Xiaoyong Pan, Lei Chen, Tao Huang, 2018, Gene Therapy.

Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach

Xiangyin Kong, Yu-Hang Zhang, Shaopeng Wang, 2015, BioMed research international.

Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach

Yu-Dong Cai, Xiangyin Kong, Yu-Hang Zhang, 2017, BioMed research international.

Identification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and Proteins

Yu-Dong Cai, Yichun He, Yufei Gao, 2015, PloS one.

Alternative splicing at GYNNGY 5′ splice sites: more noise, less regulation

M. Wang, Xiangyin Kong, Yuchao Zhang, 2014, Nucleic acids research.

An integrated method for the identification of novel genes related to oral cancer

Lei Chen, Tao Huang, Yu-Dong Cai, 2017, PloS one.

Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network

Hui Ren, Fei Yuan, Yang Jiang, 2014, BioMed research international.

Identification of Novel Lung Cancer Driver Genes Connecting Different Omics Levels With a Heat Diffusion Algorithm

Tao Huang, Lei Chen, Yu-Hang Zhang, 2022, Frontiers in Cell and Developmental Biology.

Combined Analysis with Copy Number Variation Identifies Risk Loci in Lung Cancer

Xiangyin Kong, Xianfu Yi, G. Hu, 2014, BioMed research international.

Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach

Meng Wang, Xiangyin Kong, Kai Wu, 2015, Comput. Math. Methods Medicine.

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes

Tao Zeng, Yu-Dong Cai, Tao Huang, 2021, Frontiers in Genetics.

Prediction of potential drivers connecting different dysfunctional levels in lung adenocarcinoma via a protein-protein interaction network.

Fei Yuan, Wencong Lu, Fei Yuan, 2017, Biochimica et biophysica acta. Molecular basis of disease.

Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network

Xiangyin Kong, Yu-Dong Cai, Fei Yuan, 2015, Comput. Math. Methods Medicine.

Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method.

Lin Lu, Yu-Dong Cai, Fei Yuan, 2018, Mathematical biosciences.

Identification of Age-Related Macular Degeneration Related Genes by Applying Shortest Path Algorithm in Protein-Protein Interaction Network

Lei Chen, Yu-Dong Cai, Kai-Yan Feng, 2013, BioMed research international.

Analysis of the relationship between PM2.5 and lung cancer based on protein-protein interactions.

Yu-Dong Cai, Xiangyin Kong, Tao Huang, 2016, Combinatorial chemistry & high throughput screening.

Identifying novel genes and chemicals related to nasopharyngeal cancer in a heterogeneous network

You Zhou, Fei Yuan, Shaopeng Wang, 2016, Scientific Reports.

Computational method for distinguishing lysine acetylation, sumoylation, and ubiquitination using the random forest algorithm with a feature selection procedure.

Tao Huang, Yu-Dong Cai, Jiarui Li, 2017, Combinatorial chemistry & high throughput screening.