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» A Time Series Analysis of Microarray Data
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WSC
1998
14 years 11 months ago
Advanced Methods for Simulation Output Analysis
This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditi...
Christos Alexopoulos, Andrew F. Seila
78
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BMCBI
2010
118views more  BMCBI 2010»
14 years 9 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
80
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BIOINFORMATICS
2006
96views more  BIOINFORMATICS 2006»
14 years 9 months ago
Joint estimation of calibration and expression for high-density oligonucleotide arrays
Motivation: The need for normalization in microarray experiments has been well documented in the literature. Currently, most analysis methods treat normalization and analysis as a...
Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 9 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
BMCBI
2008
94views more  BMCBI 2008»
14 years 9 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson