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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2006
153views more  BMCBI 2006»
13 years 9 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
BMCBI
2005
154views more  BMCBI 2005»
13 years 8 months ago
GObar: A Gene Ontology based analysis and visualization tool for gene sets
Background: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such ...
Jason S. M. Lee, Gurpreet Katari, Ravi Sachidanand...
BMCBI
2006
211views more  BMCBI 2006»
13 years 9 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
BIOINFORMATICS
2006
135views more  BIOINFORMATICS 2006»
13 years 9 months ago
Effective similarity measures for expression profiles
It is commonly accepted that genes with similar expression profiles are functionally related. However, there are many ways one can measure the similarity of expression profiles, a...
Golan Yona, William Dirks, Shafquat Rahman, David ...
BIOINFORMATICS
2005
72views more  BIOINFORMATICS 2005»
13 years 8 months ago
Use of within-array replicate spots for assessing differential expression in microarray experiments
Motivation. Spotted arrays are often printed with probes in duplicate or triplicate, but current methods for assessing differential expression are not able to make full use of the...
Gordon K. Smyth, Joëlle Michaud, Hamish S. Sc...