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Shaw-Hwa Lo - Publications

Affiliations: 
Columbia University, New York, NY 
Area:
Statistics
Website:
http://statgene.wikischolars.columbia.edu/lo
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32 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Zhou W, Lo SH. Analysis of genotype by methylation interactions through sparsity-inducing regularized regression. Bmc Proceedings. 12: 40. PMID 30275890 DOI: 10.1186/S12919-018-0145-6  0.41
2018 Hsu Y, Auerbach J, Zheng T, Lo SH. Coping with family structure in genome-wide association studies: a comparative evaluation. Bmc Proceedings. 12: 42. PMID 30263047 DOI: 10.1186/S12919-018-0151-8  0.532
2016 Lo A, Agne M, Auerbach J, Fan R, Lo SH, Wang P, Zheng T. Network-guided interaction mining for the blood pressure phenotype of unrelated individuals in genetic analysis workshop 19. Bmc Proceedings. 10: 333-336. PMID 27980658 DOI: 10.1186/S12919-016-0052-7  0.566
2016 Auerbach J, Agne M, Fan R, Lo A, Lo SH, Zheng T, Wang P. Identifying regions of disease-related variants in admixed populations with the summation partition approach. Bmc Proceedings. 10: 131-134. PMID 27980624 DOI: 10.1186/S12919-016-0018-9  0.548
2016 Lo A, Chernoff H, Zheng T, Lo SH. 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. PMID 27911830 DOI: 10.1073/Pnas.1616647113  0.501
2015 Lo A, Chernoff H, Zheng T, Lo SH. Why significant variables aren't automatically good predictors. Proceedings of the National Academy of Sciences of the United States of America. 112: 13892-7. PMID 26504198 DOI: 10.1073/Pnas.1518285112  0.533
2014 Agne M, Huang CH, Hu I, Wang H, Zheng T, Lo SH. Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach. Bmc Proceedings. 8: S7. PMID 25519400 DOI: 10.1186/1753-6561-8-S1-S7  0.579
2014 Wang MH, Huang CH, Zheng T, Lo SH, Hu I. Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics. Bmc Proceedings. 8: S62. PMID 25519396 DOI: 10.1186/1753-6561-8-S1-S62  0.579
2014 Fan R, Huang CH, Hu I, Wang H, Zheng T, Lo SH. A partition-based approach to identify gene-environment interactions in genome wide association studies. Bmc Proceedings. 8: S60. PMID 25519395 DOI: 10.1186/1753-6561-8-S1-S60  0.599
2014 Liu Y, Huang CH, Hu I, Lo SH, Zheng T. Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits. Bmc Proceedings. 8: S112. PMID 25519352 DOI: 10.1186/1753-6561-8-S1-S112  0.46
2014 Liu Y, Huang C, Hu I, Lo SH, Zheng T. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits. Bmc Proceedings. 8: S47. PMID 25519328 DOI: 10.1186/1753-6561-8-S1-S47  0.596
2013 Fan R, Lo SH. A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions. Plos One. 8: e83057. PMID 24358248 DOI: 10.1371/Journal.Pone.0083057  0.461
2012 Wang H, Lo SH, Zheng T, Hu I. Interaction-based feature selection and classification for high-dimensional biological data. Bioinformatics (Oxford, England). 28: 2834-42. PMID 22945786 DOI: 10.1093/Bioinformatics/Bts531  0.582
2011 Liu Y, Huang CH, Hu I, Lo SH, Zheng T. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach. Bmc Proceedings. 5: S106. PMID 22373536 DOI: 10.1186/1753-6561-5-S9-S106  0.605
2011 Wang H, Huang CH, Lo SH, Zheng T, Hu I. New insights into old methods for identifying causal rare variants. Bmc Proceedings. 5: S50. PMID 22373518 DOI: 10.1186/1753-6561-5-S9-S50  0.584
2011 Agne M, Huang CH, Hu I, Wang H, Zheng T, Lo SH. Identifying influential regions in extremely rare variants using a fixed-bin approach. Bmc Proceedings. 5: S3. PMID 22373412 DOI: 10.1186/1753-6561-5-S9-S3  0.56
2011 Fan R, Huang CH, Lo SH, Zheng T, Ionita-Laza I. Identifying rare disease variants in the Genetic Analysis Workshop 17 simulated data: a comparison of several statistical approaches. Bmc Proceedings. 5: S17. PMID 22373071 DOI: 10.1186/1753-6561-5-S9-S17  0.589
2009 Huang CH, Cong L, Xie J, Qiao B, Lo SH, Zheng T. Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes. Bmc Proceedings. 3: S75. PMID 20018070 DOI: 10.1186/1753-6561-3-S7-S75  0.568
2009 Qiao B, Huang CH, Cong L, Xie J, Lo SH, Zheng T. Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1. Bmc Proceedings. 3: S132. PMID 20017999 DOI: 10.1186/1753-6561-3-S7-S132  0.537
2009 Chernoff H, Lo S, Zheng T. Discovering influential variables: A method of partitions The Annals of Applied Statistics. 3: 1335-1369. DOI: 10.1214/09-Aoas265  0.525
2008 Zheng T, Lo SH. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 23: 318-320. PMID 19946612 DOI: 10.1214/08-Sts244A  0.521
2008 Lo SH, Chernoff H, Cong L, Ding Y, Zheng T. Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer. Proceedings of the National Academy of Sciences of the United States of America. 105: 12387-92. PMID 18711133 DOI: 10.1073/Pnas.0805242105  0.548
2007 Zheng T, Lo SH. A Modified Kendall Rank-Order Association Test For Evaluating The Repeatability Of Two Studies With A Large Number Of Objects. Lecture Notes-Monograph Series / Institute of Mathematical Statistics. 3: 515-528. PMID 21687777  0.492
2007 Ding Y, Cong L, Ionita-Laza I, Lo SH, Zheng T. Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm. Bmc Proceedings. 1: S13. PMID 18466472 DOI: 10.1186/1753-6561-1-S1-S13  0.589
2007 Zheng T, Wang S, Cong L, Ding Y, Ionita-Laza I, Lo SH. Joint study of genetic regulators for expression traits related to breast cancer. Bmc Proceedings. 1: S10. PMID 18466439 DOI: 10.1186/1753-6561-1-S1-S10  0.54
2006 Zheng T, Wang H, Lo SH. Backward genotype-trait association (BGTA)-based dissection of complex traits in case-control designs. Human Heredity. 62: 196-212. PMID 17114886 DOI: 10.1159/000096995  0.566
2006 Lin C, Wang H, Chen Y, Freimer N, Zheng T, Lo S, Moura-Neto RS, Bydlowski SP, Pena SDJ, Rocha J, Passarino G, Montesanto A, Dato S, Giordano S, Domma F, et al. Contents Vol. 62, 2006 Human Heredity. 62: 225-226. DOI: 10.1159/000098096  0.425
2006 Lin C, Wang H, Chen Y, Freimer N, Zheng T, Lo S, Moura-Neto RS, Bydlowski SP, Pena SDJ, Rocha J, Passarino G, Montesanto A, Dato S, Giordano S, Domma F, et al. Subject Index Vol. 62, 2006 Human Heredity. 62: 224-224. DOI: 10.1159/000098095  0.446
2005 Ionita I, Lo SH. Multilocus linkage analysis of affected sib pairs. Human Heredity. 60: 227-40. PMID 16424672 DOI: 10.1159/000091010  0.335
2004 Lo SH, Zheng T. A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data. Proceedings of the National Academy of Sciences of the United States of America. 101: 10386-91. PMID 15231995 DOI: 10.1073/Pnas.0403662101  0.555
2003 Lo SH, Liu X, Shao Y. A marginal likelihood model for family-based data. Annals of Human Genetics. 67: 357-66. PMID 12914570 DOI: 10.1046/J.1469-1809.2003.00032.X  0.333
2002 Lo SH, Zheng T. Backward Haplotype Transmission Association (BHTA) algorithm - a fast multiple-marker screening method. Human Heredity. 53: 197-215. PMID 12435884 DOI: 10.1159/000066194  0.582
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