Gen Li, Ph.D.
Affiliations: | Biostatistics | Columbia University, New York, NY |
Area:
Biostastical Methods, GeneticsWebsite:
https://www.mailman.columbia.edu/people/our-faculty/gl2521Google:
"Gen Li"Parents
Sign in to add mentor| Andrew Nobel | grad student | 2015 | UNC Chapel Hill | |
| (Integrated Analysis of Multiple Data Sets with Biomedical Applications) | ||||
| Haipeng Shen | grad student | 2015 | UNC Chapel Hill | |
| (Integrated Analysis of Multiple Data Sets with Biomedical Applications) | ||||
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Publications
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| Zhu X, Kim Y, Ravid O, et al. (2023) Neuroimaging-Based Classification of PTSD Using Data-Driven Computational Approaches: A Multisite Big Data Study from the ENIGMA-PGC PTSD Consortium. Neuroimage. 120412 |
| Zhu H, Li G, Lock EF. (2018) Generalized integrative principal component analysis for multi-type data with block-wise missing structure. Biostatistics (Oxford, England) |
| Li G, Huang JZ, Shen H. (2018) Exponential Family Functional data analysis via a low-rank model. Biometrics |
| Lock EF, Li G. (2018) Supervised multiway factorization. Electronic Journal of Statistics. 12: 1150-1180 |
| Li G, Jima D, Wright FA, et al. (2018) HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues. Bmc Bioinformatics. 19: 95 |
| Li G, Shabalin AA, Rusyn I, et al. (2017) An empirical Bayes approach for multiple tissue eQTL analysis. Biostatistics (Oxford, England) |