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» CoXpress: differential co-expression in gene expression data
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BMCBI
2004
165views more  BMCBI 2004»
13 years 7 months ago
Analysis of oligonucleotide array experiments with repeated measures using mixed models
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...
BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
BIB
2007
59views more  BIB 2007»
13 years 7 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Parallel multiplicity and error discovery rate (EDR) in microarray experiments
Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
Wayne Wenzhong Xu, Clay J. Carter
BMCBI
2006
107views more  BMCBI 2006»
13 years 7 months ago
Evaluation of methods for oligonucleotide array data via quantitative real-time PCR
Background: There are currently many different methods for processing and summarizing probelevel data from Affymetrix oligonucleotide arrays. It is of great interest to validate t...
Li-Xuan Qin, Richard P. Beyer, Francesca N. Hudson...