陈伟
个人简介：
陈伟，博士，教授，博士/硕士研究生导师。中国计算机学会生物信息学专委会委员、中国人工智能学会生物信息学专委会委员、中国生物工程学会生物信息学专委会委员、中国生物信息学会(筹)理事，四川省生物信息学会常务理事，molecular therapy-nucleic acids期刊副主编。
研究方向：
致力于生物信息学和系统生物学研究，基于中医药大数据和药用植物资源，采用人工智能方法开展多组学数据分析算法开发、医学大数据挖掘、药物发现与设计、药用植物功能基因组/比较基因组学等方面的研究。
课题组网站：https://chenweilab.cn/
代表性成果：
已主持完成国家和省部级项目10余项，获科睿唯安全球高被引科学家，爱思唯尔中国高被引学者，生物信息领域全球前2%顶尖科学家等荣誉称号；在nucleic acids research, molecular therapy等期刊发表sci论文150余篇，近三年代表性论文如下：
[1] qiang tang, fulei nie, qi zhao, wei chen*. (2022) a merged molecular representation deep learning method for blood-brain barrier permeability prediction. briefings in bioinformatics, 23(5):1-10.
[2] fanbo meng, qiang tang, tianzhe chu, xianhai li, yue lin, xiaoming song*, wei chen*. (2022) tcmpg: an integrative database for traditional chinese medicine plant genome. horticulture research, 9: uhac060.
[3] xianhai li, qiang tang, fanbo meng, pufengdu*, wei chen*. (2022) input: an intelligent network pharmacology platform unique for traditional chinese medicine. computational and structural biotechnology journal, 20:1345-1351.
[4] juanjuan kang, qiang tang, jun he, le li, nianling yang, shuiyan yu, mengyao wang, yuchen zhang, jiahao lin, tianyu cui, yongfei hu, puwen tan, jun cheng, hailong zheng, dong wang*, xi su*, wei chen*, yan huang*. (2021) rnainter v4.0: rna interactome repository with redefined confidence scoring system and improved accessibility. nucleic acids research, 50(d1): d326-d332.
[5] fanbo meng, tianzhe chu, qiang tang, wei chen*. (2021) a tetraploidization event shaped the aquilaria sinensis genome and contributed to the ability of sesquiterpenes synthesis. bmc genomics, 22(1):647.
[6] qiang tang, fulei nie, juanjuan kang, wei chen*. (2021) mrnalocater: enhance the prediction accuracy of eukaryotic mrna subcellular localization by using model fusion strategy. molecular therapy, 29(8):2617-2623.
[7] qiang tang, juanjuan kang, jiaqing yuan, hua tang, xinahai li, hao lin*, jian huang*, wei chen*. (2020) dna4mc-lip: a linear integration method to identify n4-methylcytosine site in multiple species. bioinformatics, 36(11):3327-3335.
[8] jun wang, pufeng du*, xinyu xue, guangping li, yuanke zhou, wei zhao, hao lin, wei chen*. (2020) visfeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences. bioinformatics, 36(4):1277-1278.