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BIODATAMINING
2008
178views more  BIODATAMINING 2008»
13 years 7 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
Background: The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information ...
Jiye Ai, Barry Smith, Wong T. David
BMCBI
2010
136views more  BMCBI 2010»
13 years 7 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
BMCBI
2007
182views more  BMCBI 2007»
13 years 7 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
A statistical approach to finding overlooked genetic associations
Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...