孙端辰
个人信息Personal Information
教授
性别:男
毕业院校:中国科学院数学与系统科学研究院
学历:研究生(博士后)
学位:理学博士学位
在职信息:在职
所在单位:数学学院
入职时间:2022-01-12
学科:运筹学与控制论
办公地点:山东大学中心校区知新楼B座913-1
电子邮箱:dcsun@sdu.edu.cn
扫描关注
- [1] Li, Yunhai. Predicting Drug-Target Affinity Using Protein Pocket and Graph Convolution Network. 14954 LNBI, 1-12, 2024.
- [2] Yu, Jiating. Reverse network diffusion to remove indirect noise for better inference of gene regulatory networks. Bioinformatics, 40, 2024.
- [3] 吴秋琴. Identification of DNA motif pairs on paired sequences based on composite heterogeneous graph. Frontiers in Genetics, 15, 2024.
- [4] Jiating Yu. Incorporating network diffusion and peak location information for better single-cell ATAC-seq data analysis. Briefings in Bioinformatics, 25, 2024.
- [5] Yang, Jiaxin. Multi-objective Optimization-Based Approach for Detection of Breast Cancer Biomarkers. 14088 LNCS, 716-726, 2023.
- [6] Sun, Chenxi. Detecting Autism Spectrum Disorder from Functional Magnetic Resonance Imaging Data with an Ensemble Machine Learning Method. 13-20, 2023.
- [7] Zhang, Chunxiao. MOFNet: A Deep Learning Framework of Integrating Multi-omics Data for Breast Cancer Diagnosis. 14088 LNCS, 727-738, 2023.
- [8] . CDK9 inhibition induces epigenetic reprogramming revealing strategies to circumvent resistance in lymphoma. Mol Cancer, 22, 2023.
- [9] Yu, Jiating. Network Refinement: Denoising complex networks for better community detection. PHYSICA A, 617, 2023.
- [10] Wang, Chuanyuan. ActivePPI: quantifying protein-protein interaction network activity with Markov random fields. Bioinformatics (Oxford, England), 39, 2023.
- [11] Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data. Nature Biotechnology, 2021.
- [12] Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nature Communications, 2021.
- [13] BET bromodomain inhibition blocks an AR-Repressed, E2F1-Activated treatment-emergent neuroendocrine prostate cancer lineage plasticity program. Clinical Cancer Research, 2021.
- [14] Discovering cooperative biomarkers for heterogeneous complex disease diagnoses. Briefings in Bioinformatics, 2019.
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