We have applied genomics and epigenomics to identify novel cancer-associated genes that are involved in breast cancer development. To support this activity, we developed analytic methods that can enhance signal and reduce noise. We have developed multivariate methods to discover gene expression and DNA methylation signatures that can classify tumors with different clinical phenotypes. Our expertise in data analyses and development of novel analytical methods also provide a focal point for interactions with other investigators.We have applied genomics and epigenomics to identify novel cancer-associated genes that are involved in breast cancer development. To support this activity, we developed analytic methods that can enhance signal and reduce noise. We have developed multivariate methods to discover gene expression and DNA methylation signatures that can classify tumors with different clinical phenotypes. Our expertise in data analyses and development of novel analytical methods also provide a focal point for interactions with other investigators.
Kadota, Mitsutaka; Sato, Misako; Duncan, Beverly et al. (2009) Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA. Cancer Res 69:7357-65 |
Hu, Nan; Wang, Chaoyu; Ng, David et al. (2009) Genomic characterization of esophageal squamous cell carcinoma from a high-risk population in China. Cancer Res 69:5908-17 |
Yang, Howard H; Hu, Nan; Taylor, Philip R et al. (2008) Whole genome-wide association study using affymetrix SNP chip: a two-stage sequential selection method to identify genes that increase the risk of developing complex diseases. Methods Mol Med 141:23-35 |
Crawford, Nigel P S; Alsarraj, Jude; Lukes, Luanne et al. (2008) Bromodomain 4 activation predicts breast cancer survival. Proc Natl Acad Sci U S A 105:6380-5 |
Ng, David; Hu, Nan; Hu, Ying et al. (2008) Replication of a genome-wide case-control study of esophageal squamous cell carcinoma. Int J Cancer 123:1610-5 |