研究方向：
生物信息學(xué)，人工智能，機(jī)器學(xué)習(xí)，深度學(xué)習(xí)，基于人工智能的藥物發(fā)現(xiàn)，多組學(xué)生物數(shù)據(jù)分析與處理。
科研項(xiàng)目：
主持國(guó)家級(jí)自然科學(xué)基金地區(qū)項(xiàng)目1項(xiàng)、國(guó)家級(jí)自然科學(xué)基金青年項(xiàng)目1項(xiàng)，海南省重點(diǎn)研發(fā)項(xiàng)目1項(xiàng)，四川省自然科學(xué)基金青年項(xiàng)目1項(xiàng)；中國(guó)博士后科學(xué)基金面上項(xiàng)目1項(xiàng)及博士后國(guó)際交流計(jì)劃引進(jìn)項(xiàng)目1項(xiàng)（已結(jié)題）。
1. 國(guó)家自然科學(xué)基金地區(qū)項(xiàng)目，62262015，基于深度學(xué)習(xí)及多組學(xué)數(shù)據(jù)整合的三陰性乳腺癌多層任務(wù)模式挖掘研究，2023/01-2026/12，35萬，在研，主持。
2. 國(guó)家自然科學(xué)基金青年項(xiàng)目，62101100，基于多模態(tài)多任務(wù)深度學(xué)習(xí)的蛋白質(zhì)-核酸相互作用的系統(tǒng)性預(yù)測(cè)，2022/01-2024/12，30萬元，在研，主持。
3. 海南省重點(diǎn)研發(fā)項(xiàng)目，基于多模態(tài)生物醫(yī)學(xué)數(shù)據(jù)的罕見腫瘤個(gè)性化診療模式挖掘中關(guān)鍵技術(shù)研發(fā)與應(yīng)用，2024/01-2025/12，64萬，在研，主持。
4. 四川省自然科學(xué)基金青年科學(xué)基金項(xiàng)目，2022NSFSC0943，基于深度遷移學(xué)習(xí)的蛋白質(zhì)-核酸相互作用預(yù)測(cè)研究，2022/01-2023/12，10萬元，在研，主持。
5. 海南大學(xué)高層次人才科研啟動(dòng)基金，2022/05-2027/04，35萬元，在研，主持。
6. 博士后國(guó)際交流計(jì)劃引進(jìn)項(xiàng)目, YJ20200042, 非編碼RNA的挖掘、疾病關(guān)系預(yù)測(cè)及相關(guān)計(jì)算方法的研究，2020/05-2022/04，70萬元, 已結(jié)題, 主持。
7. 中國(guó)博士后科學(xué)基金面上資助項(xiàng)目，2021M700694，基于多模態(tài)深度學(xué)習(xí)的蛋白質(zhì)-RNA結(jié)合偏好預(yù)測(cè)，2022/01-2023/12，8萬元，已結(jié)題，主持。
8. 國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目，62131004，面向單細(xì)胞RNA測(cè)序數(shù)據(jù)的深度遷移模型與細(xì)胞通信網(wǎng)絡(luò)研究，2022/01-2026/12，305萬元，在研，參與。
9. 國(guó)家自然科學(xué)基金面上項(xiàng)目，62172076，面向藥物副作用識(shí)別的多視角稀疏模型研究，2022/01-2025/12，60萬元，在研，參與。
10. 國(guó)家自然科學(xué)基金面上項(xiàng)目，62172128，基于多源生物數(shù)據(jù)融合的代謝綜合征相關(guān)的lncRNA識(shí)別方法研究，2022/01-2025/12，60萬元，在研，參與。
發(fā)表論文：
1. Feifei Cui#, Shuang Li#, Zilong Zhang, Miaomiao Sui, Chen Cao, Abd El-Latif Hesham, Quan Zou*. DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins. Computational and Structural Biotechnology Journal. 2022, 20: 2020-2028. (IF=7.271，中科院二區(qū))
2. Ruiqi Liu, Xiuhao Fu, Shankai Yan, Zilong Zhang, and Feifei Cui*. AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies. IEEE International Conference on Bioinformatics and Biomedicine 2023. (CCF-B會(huì)議，已錄用).
3. Zhibin Lv#, Feifei Cui#, Quan Zou*, Lichao Zhang*, Lei Xu*. Anticancer peptides prediction with deep representation learning features. Briefings in Bioinformatics. 2021, 22(5): 1-14. (IF=13.994，中科院一區(qū)Top 期刊)
4. Feifei Cui, Zilong Zhang, Chen Cao, Quan Zou, Dong Chen*, Xi Su*. Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data. Proteomics. 2022, 3: e2100197. Doi: 10.1002/pmic.202100197. (IF=3.984)
5. Feifei Cui, Zilong Zhang, Quan Zou*. Sequence representation approaches for sequence-based protein prediction tasks that use deep learning. Briefings in Functional Genomics. 2021, 20(1): 61-73. (IF=4.241)
6. Feifei Cui, Liang Cheng *, Quan Zou *. Briefings in functional genomics special section editorial: analysis of integrated multiple omics data. Briefings in Functional Genomics. 2021, 20(4): p. 196-197. (IF=4.241)
7. Feifei Cui, Quan Zou*. Biocomputing and Synthetic Biology in Cells: Cells Special Issue. Cells. 2020, 9(11): 2459. (IF=4.326)
8. Feifei Cui, Quan Zou*, Qin Ma, Leyi Wei, Jijun Tang and Dariusz Mrozek. IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access. 2021, 9: 33110-33119. (IF=3.367)
9. Feifei Cui, Murong Zhou, Quan Zou*. Computational biology and chemistry Special section editorial: Computational analyses for miRNA. Computational Biology and Chemistry. 2021, 91:107448. (IF=2.877)
10.Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou*. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinformatics. 2022. Doi: 10.1093/bioinformatics/btac350. (IF=6.937，生物信息學(xué)頂刊)
11. Zilong Zhang, Feifei Cui, Chunyu Wang, Lingling Zhao*, Quan Zou*. Goals and approaches for each processing step for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(4): bbaa314. (IF=13.994，中科院一區(qū)TOP期刊)
12. Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou*. Critical downstream analysis steps for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(5): bbab105. (IF=13.994，中科院一區(qū)TOP期刊)
13. Yunyun Su, Shiyu Yan, Chen Cao, Feifei Cui, Quan Zou, Zilong Zhang*. Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems. IEEE International Conference on Bioinformatics and Biomedicine 2023. (CCF-B會(huì)議，已錄用)
14. Zilong Zhang, Feifei Cui, Song Wu*, Quan Zou*. Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections. Computers in Biology and Medicine. 2021, 140: 105092. (IF=4.589
15. Zilong Zhang, Feifei Cui, Murong Zhou, Song Wu*, Quan Zou*, Bo Gao*. Single-cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. Current Gene Therapy. 2021, 21(4): 338-48.(IF=4.391)
16. Chen Cao, Jianhau Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou*. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic acids research. 2022, 50(D1): D1123-D1130. (IF=16.971，中科院分區(qū)一區(qū)TOP期刊)
17. Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao*, Tao Zhou*, Tao Wang*. Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches. Journal of Cleaner Production, 2022: p. 130943. (IF=9.297，中科院分區(qū)一區(qū))
18. Cao Chen, Shao Mengting, Zuo Chunman, Kwok Devin, Liu Lin, Ge Yuli, Zhang Zilong, Cui Feifei, Chen Mingshuai, Fan Rui, Ding Yijie, Jiang Hangjin, Wang Guishen, Zou Quan*. RAVAR: a curated repository for rare variant-trait associations. Nucleic acids research. 2023. (IF=16.971，中科院分區(qū)一區(qū)TOP期刊, 已錄用)
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