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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2005
153views more  BMCBI 2005»
15 years 5 months ago
A comparative review of estimates of the proportion unchanged genes and the false discovery rate
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
Per Broberg
METMBS
2003
165views Mathematics» more  METMBS 2003»
15 years 6 months ago
GeneBox: Interactive Visualization of Microarray Data Sets
Abstract Technological advancements are constantly increasing the size and complexity of data resulting from microarray experiments. This fact has led biologists to ask complex que...
Nameeta Shah, Vladimir Filkov, Bernd Hamann, Kenne...
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
15 years 10 months ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan
BMCBI
2005
118views more  BMCBI 2005»
15 years 5 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
CIKM
2006
Springer
15 years 8 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010