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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2010
100views more  BMCBI 2010»
14 years 10 months ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...
BMCBI
2006
114views more  BMCBI 2006»
14 years 10 months ago
Empirical validation of the S-Score algorithm in the analysis of gene expression data
Background: Current methods of analyzing Affymetrix GeneChip
Richard E. Kennedy, Kellie J. Archer, Michael F. M...
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
BMCBI
2011
14 years 4 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
JIFS
2002
134views more  JIFS 2002»
14 years 9 months ago
Classification of gene expression data using fuzzy logic
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...