尤著宏 - 中国科学院大学 - 计算机科学与技术学院

个人简介

招生专业 081203-计算机应用技术招生方向多语种信息处理教育背景 2005-09--2010-12 中国科学技术大学工学博士 2001-09--2005-07 湖南师范大学工学学士工作简历 2008-06~2009-12,美国康奈尔大学, 研究助理（Research Fellow）奖励信息（1）教育部自然科学二等奖, 二等奖, 部委级, 2016 科研项目（ 1 ）基于氨基酸序列及药物化合物分子指纹的药物-靶标相互作用预测研究, 主持, 国家级, 2016-01--2019-12 （ 2 ）基于集成学习的全基因组水平上大规模高可信蛋白质互作网络构建及其功能研究, 主持, 国家级, 2014-01--2017-12 （ 3 ）基于网络拓扑结构信息与数据整合的蛋白质相互作用可信度评估方法研究, 主持, 国家级, 2012-01--2014-12 （ 4 ）中国科学院率先行动“****”青年俊才, 主持, 部委级, 2016-08--2018-07 （ 5 ）第十四批国家“****-创新项目（新疆）”, 主持, 国家级, 2018-01--2020-12 （ 6 ）基于模式识别理论的生物信息数据挖掘, 主持, 国家级, 2018-01--2020-12

研究领域

大数据分析、数据挖掘、模式识别及在生物信息学上的应用研究

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

（1） Predicting Protein Interactions Using a Deep Learning Method Combined Stacked Sparse Autoencoder with Probabilistic Classification Vector Machine, Complexity, 2018, 通讯作者（2） A Deep Learning Framework for Robust and Accurate prediction of ncRNA-Protein Interactions using Evolutionary Information, Molecular Therapy - Nucleic Acids, 2018, 通讯作者（3） Prediction of Protein Self-Interactions using Stacked Long Short-Term Memory from Protein Sequences Information, BMC Systems Biology, 2018, 通讯作者（4） Novel human miRNA-disease associations inference based on random forest, Molecular Therapy - Nucleic Acids, 2018, 通讯作者（5） A heterogeneous label propagation approach to explore the potential associations between miRNA and disease, Journal of Translational Medicine, 2018, 通讯作者（6） Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 通讯作者（7） Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions, Scientific Reports, 2018, 通讯作者（8） An improved efficient rotation forest algorithm to predict the interactions among proteins, Soft Computing, 2018, 通讯作者（9） A Systematic Prediction of Drug-Target Interactions using Molecular Fingerprints and Protein Sequences, Current Protein & Peptide Science, 2018, 通讯作者（10） Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information, Frontiers in Genetics, 2018, 通讯作者（11） An Ensemble Classifier with Random Projection for Predicting Protein–Protein Interactions Using Sequence and Evolutionary Information, Applied Sciences, 2017, 通讯作者（12） Highly Efficient Framework for Predicting Interactions Between Proteins, DOI: 10.1109/TCYB.2016.2524994, IEEE Transactions on Cybernetics, 2016, 第 1 作者（13） ILNCSIM: improved lncRNA functional similarity calculation model (影响因子 6.359), Oncotarget, 2016, 通讯作者（14） FMLNCSIM: Fuzzy Measure-based lncRNA functional similarity calculation model (影响因子 6.359), Oncotarget, 2016, 通讯作者（15） IRWRLDA: Improved Random Walk with Restart for LncRNA-Disease Association prediction (影响因子 6.359), Oncotarget, 2016, 通讯作者（16） Long non-coding RNAs and complex diseases: from experimental results to computational models ( 影响因子 9.617), Briefings in Bioinformatics, 2016, 通讯作者（17） Sequence-based Prediction of Protein-Protein Interactions Using Weighted Sparse Representation Model Combined with Global Encoding, BMC Bioinformatics, 2016, 通讯作者（18） RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences, International Journal of Molecular Sciences, 2016, 通讯作者（19） Inverse-free Extreme Learning Machine with Optimal Information Updating. vol.1, no.99, pp 1-7 (影响因子3.781), IEEE Transactions on Cybenetics, 2015, 通讯作者（20） A Non-negative Latent Factor Model for Large-scale Sparse Matrices in Recommender Systems via Alternating Direction Method, DOI 10.1109/TNNLS.2015.2415257 (影响因子：4.37）, IEEE Transactions on Neural Networks and Learning Systems, 2015, 第 4 作者（21） A MapReduce based parallel SVM for large-scale predicting protein-protein interactions,vol.145, no.5, pp 37 - 43, Neurocomputing, 2014, 第 1 作者（22） Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set, 15( S15):S9, BMC Bioinformatics, 2014, 第 1 作者