硕士生导师 王超 简介

    【个人简介】 

王超，男，副研究员，生于1990年，中共党员，研究生学历，博士学位。中国科轮·盘(中国)官方网站 大学博士，电子科技大学博士后。现任广西医科大学副研究员。研究领域：医学大数据挖掘、医学大模型开发应用、生物信息学。

【研究方向】

1.软件工程理论与方法

2.软件工程技术

3.大数据技术与应用

【在研项目】

1．基于局部学习的微生物组物种分类算法研究，国家自然科学基金面上项目，项目负责人。

2.心肾代谢综合征精准医学前瞻性队列研究，广西青苗人才项目，项目负责人。

3. 基于分层可导航小世界图（HNSW）的序列相似性算法研究，广西自然科学基金，项目负责人。

【完成项目】

1．基于序列语义和原子几何信息的真菌蛋白磷酸化位点预测研究，国家自然科学基金青年基金，项目负责人。

【学术专著】 

【发表论文】

1.Chao Wang, et al. 2024. MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. PLOS Computational Biology, 20(11):e1012607, 中科院JCR二区, IF=4.3.

2.Chao Wang, et al. 2023. ScerePhoSite: An interpretable method for identifying fungal phosphorylation sites in proteins using sequence-based features. Computers in Biology and Medicine, 158:106798，中科院JCR二区, IF=7.7.

3.Chao Wang, et al. 2023. Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE. BMC Biology, 21(1):12，中科院JCR一区, IF=7.4, Top 期刊.

4. Chao Wang, et al. 2022. DeepAc4C: A convolutional neural network model with hybrid features composed of physico-chemical patterns and distributed representation information for identification of N4acetylcytidine in mRNA. Bioinformatics, 38(1): 52-57. 中科院JCR二区, IF= 6.9, Top 期刊.

5. Chao Wang, et al. 2022. Enhancer-FRL: Improved and robust identification of enhancers and their activities using feature representation learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics (doi: 10.1109/TCBB.2022.3204365). 中科院JCR三区, IF=3.7.

6. Chao Wang, et al. 2021. A machine learning method for differentiating and predicting human-infective coronavirus based on physicochemical features and composition of the spike protein. Chinese Journal of Electronics, 30(5): 815-823. 中科院JCR四区, IF= 1.0.

7. Chao Wang, et al. 2020. NonClasGP-Pred: Robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data. Microbial Genomics, 6(12): mgen000483. 中科院JCR二区, IF=5.2.

8. Chao Wang, et al. 2020. FunEffector-Pred: Identification of fungi effector by activate learning and genetic algorithm sampling of imbalanced data. IEEE Access, 8: 57674-57683. 中科院JCR三区, IF=3.3.

9. Chao Wang, et al. 2020. Its2vec: Fungal species identification using sequence embedding and random forest classification. BioMed Research International, 2020: 2468789. 中科院JCR三区, IF=3.4.

10. Chao Wang, et al. 2021. Comparative molecular evolution of chitinases underscores mycoparasitism life style of Ascomycota. Microbial Genomics, 7(9): 000646. 中科院JCR二区, IF=5.2.

【获奖情况】

【联系方式】

电子邮件：[email protected]

手机号码：18701516376

个人主页：//lab.malab.cn/~wangchao/