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BMCBI
2008
122views more  BMCBI 2008»
13 years 6 months ago
Effects of dependence in high-dimensional multiple testing problems
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Kyung In Kim, Mark A. van de Wiel
BMCBI
2011
12 years 9 months ago
A mutation degree model for the identification of transcriptional regulatory elements
Background: Current approaches for identifying transcriptional regulatory elements are mainly via the combination of two properties, the evolutionary conservation and the overrepr...
Changqing Zhang, Jin Wang, Xu Hua, Jinggui Fang, H...
BMCBI
2010
99views more  BMCBI 2010»
13 years 6 months ago
A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling
Background: High-throughput DNA methylation arrays are likely to accelerate the pace of methylation biomarker discovery for a wide variety of diseases. A potential problem with a ...
Hailong Meng, Andrew R. Joyce, Daniel E. Adkins, P...
BMCBI
2004
150views more  BMCBI 2004»
13 years 6 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
BMCBI
2007
103views more  BMCBI 2007»
13 years 6 months ago
A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance
Background: The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR). Recently...
Shunpu Zhang