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» Comparing transformation methods for DNA microarray data
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BMCBI
2010
161views more  BMCBI 2010»
15 years 2 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...
BMCBI
2004
180views more  BMCBI 2004»
15 years 1 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
BMCBI
2006
173views more  BMCBI 2006»
15 years 2 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
CSB
2003
IEEE
15 years 7 months ago
Group Testing With DNA Chips: Generating Designs and Decoding Experiments
DNA microarrays are a valuable tool for massively parallel DNA-DNA hybridization experiments. Currently, most applications rely on the existence of sequence-specific oligonucleot...
Alexander Schliep, David C. Torney, Sven Rahmann
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
16 years 2 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian