Mr. Bohong Chen | Bioinformatics analysis | Best Researcher Award
Mr. Bohong Chen at The First Affiliated Hospital of Xi’an Jiaotong University, China
👨🎓Professional Profile
🧑🔬 Summary
Mr. Bohong Chen is a talented researcher from The First Affiliated Hospital of Xi’an Jiaotong University, China, currently pursuing his PhD with a focus on tumor drug resistance mechanisms, specifically for breast cancer. His work integrates transcriptomics, single-cell bioinformatics, and Mendelian randomization to better understand the molecular foundations of disease. With a strong academic background and multiple published articles in high-impact journals, Mr. Chen is well-equipped to contribute to foundational biomedical research aimed at improving cancer treatment strategies.
👨🎓 Education
Mr. Bohong Chen is currently pursuing a PhD at The First Affiliated Hospital of Xi’an Jiaotong University in China, where he focuses on exploring the mechanisms of tumor drug resistance, particularly for breast cancer. Prior to this, he earned his Master’s degree under the supervision of Wu Dapeng, equipping him with strong research skills in bioinformatics and molecular biology.
🏆 Academic Honors
Mr. Chen has received several prestigious academic honors, including a Second-Class Scholarship for two consecutive years and the title of “Excellent Graduate Student” for the 2021 academic year. Additionally, he serves as a reviewer for the SCI journal PLOS ONE, demonstrating his academic contributions.
💻 Technical Skills
With expertise in bioinformatics, Mr. Chen is proficient in using R Language for transcriptomic and single-cell data analysis. His skills also include Mendelian randomization, a method he uses for genetic epidemiology and to explore causal relationships in disease mechanisms. These technical skills form the backbone of his innovative research in tumor drug resistance and other medical conditions.
👨🏫 Teaching Experience
In addition to his research, Mr. Chen has demonstrated teaching abilities as a Master’s Supervisor under Wu Dapeng. He assists graduate students in their research and offers valuable guidance in bioinformatics and genomics.
🔬 Research Interests
Mr. Chen’s research interests are primarily focused on understanding tumor drug resistance, especially in breast cancer. He is particularly interested in leveraging advanced bioinformatics techniques such as single-cell sequencing and machine learning to identify novel therapeutic targets. His goal is to provide more effective treatment strategies for cancer patients by exploring the molecular mechanisms behind drug resistance.
📖 Top Noted Publications
Leveraging cell death patterns to predict metastasis in prostate adenocarcinoma and targeting PTGDS for tumor suppression
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- Authors: Chen, B., Guo, L., Wang, L., Wu, D., Du, Y.
- Journal: Scientific Reports
- Year: 2024
- Volume: 14(1), 21680
Multi-omics Mendelian randomization integrating GWAS, eQTL and pQTL data revealed GSTM4 as a potential drug target for migraine
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- Authors: Sun, X., Chen, B., Qi, Y., Lei, X., Luo, G.
- Journal: Journal of Headache and Pain
- Year: 2024
- Volume: 25(1), 117
Unveiling potential drug targets for hyperparathyroidism through genetic insights via Mendelian randomization and colocalization analyses
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- Authors: Chen, B., Wang, L., Pu, S., He, J., Hao, N.
- Journal: Scientific Reports
- Year: 2024
- Volume: 14(1), 6435
The causal association between type 2 diabetes and spinal stenosis: A Mendelian randomization analysis
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- Authors: Fan, Z., Chen, B., Ding, L., Guo, H.
- Journal: Medicine (United States)
- Year: 2024
- Volume: 103(39), e39894
An integrated machine learning framework for developing and validating a diagnostic model of major depressive disorder based on interstitial cystitis-related genes
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- Authors: Chen, B., Sun, X., Huang, H., Chen, W., Wu, D.
- Journal: Journal of Affective Disorders
- Year: 2024
- Volume: 359, 22-32
A new perspective: deciphering the aberrance and clinical implication of disulfidptosis signatures in clear cell renal cell carcinoma
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- Authors: Chen, B., Zhou, M., Guo, L., Chen, W., Wu, D.
- Journal: Aging
- Year: 2024
- Volume: 16(11), 10033-10062
An Integrated Machine Learning Framework Identifies Prognostic Gene Pair Biomarkers Associated with Programmed Cell Death Modalities in Clear Cell Renal Cell Carcinoma
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- Authors: Chen, B., Zhou, M., Guo, L., Wu, D., Chen, W.
- Journal: Frontiers in Bioscience – Landmark
- Year: 2024
- Volume: 29(3), 121
Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive
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- Authors: Peng, Z.-H., Tian, J.-H., Chen, B.-H., Chong, T., Li, Z.-L.
- Journal: Scientific Reports
- Year: 2023
- Volume: 13(1), 18424
A rational analysis of the commonly used renal tumor scoring systems in predicting surgical outcomes of cystic renal masses
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- Authors: Chen, W., Wang, Y., Cheng, K., Fang, Q., Wu, D.
- Journal: National Medical Journal of China
- Year: 2023
- Volume: 103(42), 3424-3430