Haitian Wang, Ph.D. - Publications
Affiliations: | 2011 | HKUST | Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong |
Area:
Computer Science, Bioinformatics BiologyYear | Citation | Score | |||
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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 | 0.595 | |||
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 | 0.595 | |||
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 | 0.581 | |||
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 | 0.589 | |||
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 | 0.57 | |||
2011 | Tintle N, Aschard H, Hu I, Nock N, Wang H, Pugh E. Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17. Genetic Epidemiology. 35: S56-60. PMID 22128060 DOI: 10.1002/Gepi.20650 | 0.57 | |||
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