基本信息
浏览量:179
职业迁徙
个人简介
Our research is centralised around understanding complex biological systems through data. By the means of state-of-the-art statistical tools such as machine learning techniques; random matrix theory, we believe that intrinsic information encoded in these biological systems can be uncovered. We are interested in a wide range of biological applications, RNA sequencing, de novo protein structure predictionand an area which we've covered much ground in - nanobodies.
研究兴趣
论文共 79 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Anna M Puszkarska,Bruck Taddese,Jefferson Revell, Graeme Davies, Joss Field,David C Hornigold,Andrew Buchanan,Tristan J Vaughan,Lucy J Colwell
Nature chemistry (2024)
Neil Thomas,David Belanger, Chenling Xu, Hanson Lee, Kathleen Hirano, Kosuke Iwai, Vanja Polic, Kendra D Nyberg, Kevin Hoff, Lucas Frenz, Charlie A Emrich, Jun W Kim,
biorxiv(2024)
Anna M. Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field,David C. Hornigold,Andrew Buchanan,Tristan J. Vaughan,Lucy J. Colwell
Nature Chemistry (2024)
Anna M. Puszkarska,Bruck Taddese,Jefferson Revell, Graeme Davies, Joss Field,David C. Hornigold,Andrew Buchanan,Tristan J. Vaughan,Lucy J. Colwell
Nature Chemistrypp.1-9, (2024)
Hannah K Wayment-Steele, Adedolapo Ojoawo,Renee Otten, Julia M Apitz,Warintra Pitsawong, Marc Hömberger,Sergey Ovchinnikov,Lucy Colwell,Dorothee Kern
Natureno. 7996 (2023): 1-3
Christof Angermueller, Zelda Marie, Benjamin Jester,Emily Engelhart, Ryan Emerson, Babak Alipanahi,Zachary Ryan McCaw, Jim Roberts,Randolph M Lopez, David Younger,Lucy Colwell
biorxiv(2023)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn