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» Determining gene expression on a single pair of microarrays
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BMCBI
2006
106views more  BMCBI 2006»
13 years 7 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
SAC
2006
ACM
14 years 1 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
BMCBI
2006
173views more  BMCBI 2006»
13 years 7 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
BMCBI
2007
109views more  BMCBI 2007»
13 years 7 months ago
TABASCO: A single molecule, base-pair resolved gene expression simulator
Background: Experimental studies of gene expression have identified some of the individual molecular components and elementary reactions that comprise and control cellular behavio...
Sriram Kosuri, Jason R. Kelly, Drew Endy
BMCBI
2006
136views more  BMCBI 2006»
13 years 7 months ago
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
Raja Loganantharaj, Satish Cheepala, John Clifford