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» Spotting effect in microarray experiments
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138
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BMCBI
2008
159views more  BMCBI 2008»
15 years 17 days ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
86
Voted
BMCBI
2008
83views more  BMCBI 2008»
15 years 17 days ago
A Java-based tool for the design of classification microarrays
Background: Classification microarrays are used for purposes such as identifying strains of bacteria and determining genetic relationships to understand the epidemiology of an inf...
Da Meng, Shira L. Broschat, Douglas R. Call
109
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 15 days ago
Evaluation of microarray data normalization procedures using spike-in experiments
Background: Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-ca...
Patrik Rydén, Henrik Andersson, Mattias Lan...
110
Voted
BMCBI
2005
141views more  BMCBI 2005»
15 years 10 days ago
Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
Background: Type 1 diabetes mellitus (T1DM) is a autoimmune disease caused by a long-term negative balance between immune-mediated beta-cell damage and beta-cell repair/regenerati...
Nils E. Magnusson, Alessandra K. Cardozo, Mogens K...
109
Voted
BMCBI
2004
124views more  BMCBI 2004»
15 years 9 days ago
XHM: A system for detection of potential cross hybridizations in DNA microarrays
Background: Microarrays have emerged as the preferred platform for high throughput gene expression analysis. Cross-hybridization among genes with high sequence similarities can be...
Kristian Flikka, Fekadu Yadetie, Astrid Lægr...