刘羽朦
来源: 大数据与互联网学院 日期: 2022/05/16
一、教育经历
2014/09-2020/10哈尔滨工业大学,计算机应用技术,博士(硕博连读)
2009/09-2013/07哈尔滨师范大学,计算机工程与应用,学士
二、工作经历
2021/01-至今深圳技术大学大数据与互联网学院,讲师
三、主要研究领域
生物信息学、人工智能算法在蛋白质组学研究中的应用
四、主要成果及荣誉
(1)Yumeng Liu, Xiaolong Wang, Bin Liu*. A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction. Briefings in Bioinformatics, 2019, 20(1), 330-346.
(2)Yumeng Liu, Xiaolong Wang, Bin Liu*, RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins. Briefings in Bioinformatics, 2020,22(2),2000-2011.
(3)Yumeng Liu, Shengyu Chen, Xiaolong Wang*, Bin Liu*. Identification of intrinsically disordered proteins/regions by length-dependent predictors based on conditional random fields. Molecular Therapy-Nucleic Acids, 2019, 17:396-404.
(4)Yumeng Liu, Xiaolong Wang, Bin Liu*. IDP-CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields. International Journal of Molecular Sciences, 2018, 19:2483.
(5)Bingquan Liu#*, Yumeng Liu#, Dong Huang, Recombination hot/cold spot identification combining three different pseudo components via an ensemble learning approach. BioMed Research International, 2016(2016):1-7. (#代表共同一作)
E-mail:liuyumeng@sztu.edu.cn