基本信息
浏览量:69
职业迁徙
个人简介
I focus on integrative analysis of large-scale molecular data such as GWAS and single-cell data. The biological endeavor is on mechanistic interpretation of variants discovered in GWAS. The computational challenges involve analyses of high-dimensional, multimodal, and very-large-scale data. Specific topics include:
Genetics: GWAS, scRNA-seq, scATAC-seq, eQTL/pQTL, heritability estimation, disease-critical cellular contexts, Mendelian randomization, scRNA-seq experimental design.
Machine learning and statistics: multiple hypotheses testing, Monte Carlo methods, empirical Bayes, causal inference, algorithm acceleration, multi-armed bandits.
Genetics: GWAS, scRNA-seq, scATAC-seq, eQTL/pQTL, heritability estimation, disease-critical cellular contexts, Mendelian randomization, scRNA-seq experimental design.
Machine learning and statistics: multiple hypotheses testing, Monte Carlo methods, empirical Bayes, causal inference, algorithm acceleration, multi-armed bandits.
研究兴趣
论文共 30 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
biorxiv(2024)
Nature Geneticsno. 11 (2023): 1854-1865
Mo Tiwari,Ryan Kang, Je-Yong Lee, Luke Lee,Chris Piech,Sebastian Thrun,Ilan Shomorony,Martin Jinye Zhang
arxiv(2023)
引用0浏览0EI引用
0
0
引用0浏览0EI引用
0
0
medRxiv : the preprint server for health sciences (2023)
Nature geneticsno. 12 (2023): 2200-2210
medRxiv : the preprint server for health sciences (2023)
Matthew G. Heffel,Jingtian Zhou,Yi Zhang,Dong-Sung Lee,Kangcheng Hou, Oier Pastor Alonso, Kevin Abuhanna,Anthony D. Schmitt,Terence Li,Maximilian Haeussler,Brittney Wick,Martin Jinye Zhang,
biorxiv(2022)
arxiv(2022)
引用4浏览0EI引用
4
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