Shaw-Hwa Lo
Affiliations: | Columbia University, New York, NY |
Area:
StatisticsWebsite:
http://statgene.wikischolars.columbia.edu/loGoogle:
"Shaw-Hwa Lo"Cross-listing: MathTree
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Publications
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| Zhou W, Lo SH. (2018) Analysis of genotype by methylation interactions through sparsity-inducing regularized regression. Bmc Proceedings. 12: 40 |
| Hsu Y, Auerbach J, Zheng T, et al. (2018) Coping with family structure in genome-wide association studies: a comparative evaluation. Bmc Proceedings. 12: 42 |
| Lo A, Agne M, Auerbach J, et al. (2016) Network-guided interaction mining for the blood pressure phenotype of unrelated individuals in genetic analysis workshop 19. Bmc Proceedings. 10: 333-336 |
| Auerbach J, Agne M, Fan R, et al. (2016) Identifying regions of disease-related variants in admixed populations with the summation partition approach. Bmc Proceedings. 10: 131-134 |
| Lo A, Chernoff H, Zheng T, et al. (2016) Framework for making better predictions by directly estimating variables' predictivity. Proceedings of the National Academy of Sciences of the United States of America. 113: 14277-14282 |
| Lo A, Chernoff H, Zheng T, et al. (2015) Why significant variables aren't automatically good predictors. Proceedings of the National Academy of Sciences of the United States of America. 112: 13892-7 |
| Agne M, Huang CH, Hu I, et al. (2014) Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach. Bmc Proceedings. 8: S7 |
| Wang MH, Huang CH, Zheng T, et al. (2014) Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics. Bmc Proceedings. 8: S62 |
| Fan R, Huang CH, Hu I, et al. (2014) A partition-based approach to identify gene-environment interactions in genome wide association studies. Bmc Proceedings. 8: S60 |
| Liu Y, Huang CH, Hu I, et al. (2014) Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits. Bmc Proceedings. 8: S112 |