| 科研成果 |
<p>
代表性论文：<br>1. Yushan Qiu, Yahooing Zhang, Liwen Tian, Quan Zou, Pu Zhao. Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transition. iScience, 2023, 26(4):106517 (CELL 子刊)<br>2. Liangjie Sun, Yushan Qiu(*通讯作者), Wai-Ki Ching, Pu Zhao, Quan Zou. PCB: a pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Computational Biology. 2023, 19(3): e1010939. (学生一作，中科院大类2区)<br>3. Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou. SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings in Bioinformatics, 2023, bbad149. （中科院1区Top期刊，JCR Q1，IF 2020：11.622）<br>4. Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu(*通讯作者). A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization, Information Sciences, 2022. 606:72-97. （中科院大类1区Top期刊，JCR Q1） <br>5. Ying Yang, Sha Tian, Yushan Qiu(*通讯作者), Pu Zhao, Quan Zou, MDICC: novel method for multi-omics data integration and cancer subtype identification, Briefings in Bioinformatics, Volume 23, Issue 3, May 2022, bbac132, https://doi.org/10.1093/bib/bbac132. (中科院1区Top期刊，JCR Q1，IF 2021：11.622，学生一作） <br>6. Yushan Qiu, Wai-Ki Ching, Quan Zou. Matrix factorization-based data fusion for the prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition. Briefings in Bioinformatics, 2021, Doi:10.1093/bib/bbab332. （中科院1区Top期刊，JCR Q1，IF 2020：11.622）<br>7. Yushan Qiu, Wai-Ki Ching, Quan Zou. Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings in Bioinformatics. doi: 10.1093/bib/bbaa440. （中科院1区Top期刊，JCR Q1，IF 2020：11.622） <br>8. Yushan Qiu, Hao Jiang, Wai-Ki Ching. Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, doi: 10.1109/TCBB.2020.2992605. （中科院小类2区，JCR Q1，IF 2020: 3.015） <br>9. Yushan Qiu, Jingyi Lyu, Mikayla Dunlap, Sameul E. Harvey, Chonghui Cheng. A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival. RNA, 2020, 10.1261/rna.074187.119. （中科院大类2区，JCR Q1，IF 2020: 4.942） <br>10. Hao Jiang, Yushan Qiu(*通讯作者), Wenpin Hou, Xiaoqing Cheng, Manyi Yim, Wai-Ki Ching. Drug side-effect profiles prediction: from empirical risk minimization to structural risk minimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(2): 402-410. （中科院大类2区，JCR Q1，IF 2020: 4.942） <br>11. Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng. Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Systems Biology, 2018, 12(1): 53-60. （中科院小类2区，JCR: Q2, IF 2018: 2.048） <br>12. Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu(*通讯作者). Stationary mahalanobis kernel SVM for credit risk evaluation. Applied Soft Computing, 2018, 71: 407-417. （中科院升级版大类1区，JCR: Q1, IF 2018: 4.873）<br><br></p> |
科研项目 |
1. 国家自然科学基金面上项目，面向乳腺肿瘤转移的分子关联与调控网络推断研究，62372303，主持，50万，2024/01-2027/12;
2. 国家自然科学基金青年项目，面向肿瘤转移标志物识别的多源数据整合方法研究，62002234，主持，24万，2021/01-2023/12；
3. 广东省基础与应用基础研究, 基于多源单细胞组学数据的肿瘤异质性识别模型与算法研究, 2019A1515111180，结题，10万，2020/01-2022/12；
4. bat365中文官方网站新引进教师科研启动项目，基于多源异构的的多组学数据整合方法研究，结题，14万，2019/09-2022/08；
5. bat365中文官方网站新引进高端人才财政补助科研启动项目，面向多源异构生物大数据的模式发现理论及其应用，结题，160万，2019/01-2021/12；
6. 国家自然科学基金面上项目，基于罚函数方法的HJB广义互补问题研究，11871347，参与，52万，2019/01-2022/12；
7. 深圳市科技计划基础研究项目，基于深度数学优化方法的新型生物信息技术，JCYJ20170817100950436，参与，30万，2018/04-2020/03； 7. bat365中文官方网站新引进高端人才财政补助科研启动项目，基于深度特征选择技术的基因调控网络研究，参与，147万，2017/01-2019/12；
8. bat365中文官方网站新引进教师科研启动项目，基于特征提取方法研究及其应用，2017058，主持，6万，2017/06-2019/05，结题。
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