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» Prediction of epigenetically regulated genes in breast cance...
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BMCBI
2010
131views more  BMCBI 2010»
13 years 5 months ago
Prediction of epigenetically regulated genes in breast cancer cell lines
Background: Methylation of CpG islands within the DNA promoter regions is one mechanism that leads to aberrant gene expression in cancer. In particular, the abnormal methylation o...
Leandro A. Loss, Anguraj Sadanandam, Steffen Durin...
BMCBI
2011
13 years 2 days ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
BMCBI
2011
13 years 2 days ago
Identifying hypermethylated CpG islands using a quantile regression model
Background: DNA methylation has been shown to play an important role in the silencing of tumor suppressor genes in various tumor types. In order to have a system-wide understandin...
Shuying Sun, Zhengyi Chen, Pearlly Yan, Yi-Wen Hua...
BMCBI
2004
180views more  BMCBI 2004»
13 years 4 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
BMCBI
2007
113views more  BMCBI 2007»
13 years 5 months ago
miRAS: a data processing system for miRNA expression profiling study
Background: The study of microRNAs (miRNAs) is attracting great considerations. Recent studies revealed that miRNAs play as important regulators of gene expression and some even a...
Feng Tian, Huayue Zhang, Xinyu Zhang, Chi Song, Yo...