科研成果 |
<p> 代表性论文:<br>1. Yushan Qiu, Lingfei Yang, Hao Jiang, Quan Zou. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. Bioinformatics, 2024, btae293. <br>2. 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 <br>3. 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. <br>4. 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. <br>5. 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. <br>6. 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. <br>7. 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>8. 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. <br>9. 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>10. 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. <br>11. 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>12. 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. <br>13. 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. <br><br></p>
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科研项目 |
1. 国家自然科学基金面上项目,62372303,主持,50万,2024/01-2027/12; <br> 2. 深圳市优秀科技创新人才培养项目(优秀青年基金研究)RCYX20231211090244048,主持,200万,2024/06-2027/06; <br> 3. 国家自然科学基金青年项目,62002234,主持,30万,2021/01-2023/12; <br> 4. 广东省自然科学基金面上项目,2024A1515010113,主持,15万,2024/01-2026/12; <br> 5. 广东省基础与应用基础研究, 2019A1515111180,主持,10万,2020/01-2022/12; <br> 6. 深圳大学新引进教师科研启动项目,主持,14万,2019/09-2022/08; <br> 7. 深圳大学新引进高端人才财政补助科研启动项目,主持,160万,2019/01-2021/12; <br> 8. 国家自然科学基金面上项目,11871347,参与,52万,2019/01-2022/12; <br> 9. 深圳市科技计划基础研究项目,JCYJ20170817100950436,参与,30万,2018/04-2020/03; <br> 10. 深圳大学新引进高端人才财政补助科研启动项目,参与,147万,2017/01-2019/12; <br> 11. 深圳大学新引进教师科研启动项目,2017058,主持,6万,2017/06-2019/05,结题。
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