1. 获奖 (1)学术奖励: 吉林省科技进步三等奖:“基于缩微平台的车联网通信与安全关键技术研究与应用”,排名第1,吉林省科学技术奖励委员会,2020. (2)学术奖励: 吉林省科技进步三等奖:“基于RFID与二维码技术的汽车零部件质量可视化监控与溯源系统”,排名第5,吉林省人民政府,2022. (3)教学奖励: 吉林省教学成果二等奖:“产学深度融合模式下计算机专业“卓越工程师”培养的探索与实践”,排名第2,吉林省人民政府,2018. 2. 代表性论文 (1) Dan Shao, Yinfei Dai, Nianfeng Li, Xuqing Cao, Wei Zhao, Li Cheng, Zhuqing Rong, Lan Huang, Yan Wang, Jing Zhao. Artificial Intelligence in Clinical Research of Cancers. Briefings in Bioinformatics. 2022; 23:1-12.(中科院一区,SCI,IF 13.994) (2) Dan Shao, Lan Huang, Yan Wang, Kai He, Xueteng Cui, Yao Wang, Qin Ma, Juan Cui. DeepSec: a deep learning framework for secreted protein discovery in human body fluids. Bioinformatics, 2022; 38:228-235.(中科院二区,SCI,IF 6.9) (3) Dan Shao, Lan Huang, Yan Wang, Xueteng Cui, Yufei Li, Yao Wang, Qin Ma, Wei Du, Juan Cui. HBFP: a new repository for Human Body-Fluid Proteome. Database. 2021; baab065.(中科院二区,SCI,IF 3.45) (4) Dan Shao, Lan Huang, Yan Wang, Xueteng Cui, Kai He, Yao Wang. Computational Prediction of Human Body-Fluid Protein. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019; 2735-2740.(CCF B) (5) Lan Huang, Yanli Qu, Kai He, Yan Wang, Dan Shao*. DenSec: secreted protein prediction in cerebrospinal fluid based on SenseNet and Transformer. Mathematics. 2022; 10:2490.(中科院三区,SCI,IF 2.59) (6) Lan Huang, Dan Shao, Yan Wang, Xueteng Cui, Yufei Li, Qian Chen, Juan Cui. Human body-fluid proteome: quantitative profiling and computational prediction. Briefings in Bioinformatics. 2021; 22:315-333.(中科院一区,SCI,IF 13.994) (7) Sen Yang, Yan Wang, Yu Lin, Dan Shao. LncMirNet: predicting LncRNA-miRNA interaction based on deep learning of ribonucleic acid sequences. Molecules. 2022; 25:4372.(中科院二区,SCI,IF 4.4) (8) Kai He, Yan Wang, Xuping Xie, Dan Shao. MultiSec: multi-task deep learning improves secreted protein discovery in human body fluids. Mathematics. 2022;10:2562.(中科院三区,SCI,IF 2.59) (9) Kai He, Yan Wang, Xuping Xie, Dan Shao. Prediction of proteins in cerebrospinal fluid and application to glioma biomarker identification. Molecules. 2023;28:3617.(中科院二区,SCI,IF 4.927) 3. 获批发明专利 (1)邵丹、王岩、黄岚、何凯、崔薛腾、张双全,基于深层神经网络的脑脊液蛋白质的预测方法,2021-05-25,中国,ZL 201911073760.4 (2)黄岚、邵丹、王岩、何凯、杨森、白天,基于卷积神经网络的精液蛋白质的预测方法,2021-03-02,中国,ZL 201911073759.1 (3)王岩、何凯、邵丹、黄岚、王尧、张睿,基于循环神经网络的羊水蛋白质的预测方法,2021-04-16,中国,ZL 201911073779.9 |