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BMCBI
2010
108views more  BMCBI 2010»
13 years 6 months ago
Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset
Background: Concomitant with the rise in the popularity of DNA microarrays has been a surge of proposed methods for the analysis of microarray data. Fully controlled "spike-i...
Qianqian Zhu, Jeffrey C. Miecznikowski, Marc S. Ha...
NAR
2007
97views more  NAR 2007»
13 years 11 months ago
Gene Aging Nexus: a web database and data mining platform for microarray data on aging
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R...
FUIN
2002
123views more  FUIN 2002»
13 years 11 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
BMCBI
2005
84views more  BMCBI 2005»
13 years 11 months ago
Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are e
Background: The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms and data analysis methods. A recent rep...
Leming M. Shi, Weida Tong, Hong Fang, Uwe Scherf, ...
BMCBI
2005
77views more  BMCBI 2005»
13 years 11 months ago
Combining Affymetrix microarray results
Background: As the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes re...
John R. Stevens, R. W. Doerge
BMCBI
2006
103views more  BMCBI 2006»
13 years 11 months ago
Improving missing value imputation of microarray data by using spot quality weights
Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools requir...
Peter Johansson, Jari Häkkinen
BMCBI
2008
83views more  BMCBI 2008»
13 years 11 months ago
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Background: Microarray technology has unveiled transcriptomic differences among tumors of various phenotypes, and, especially, brought great progress in molecular understanding of...
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuic...
BMCBI
2007
127views more  BMCBI 2007»
13 years 11 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
HIS
2008
14 years 27 days ago
CBR System for Diagnosis of Patients
Microarray technology allows to measure the expression levels of thousands of genes in an experiment. The use of computational methods is fundamental in cancer research. One of th...
Juan Francisco de Paz, Sara Rodríguez, Javi...
CSB
2004
IEEE
151views Bioinformatics» more  CSB 2004»
14 years 3 months ago
Gridding and Compression of Microarray Images
With the recent explosion of interest in microarray technology, massive amounts of microarray images are currently being produced. The storage and the transmission of this type of...
Stefano Lonardi, Yu Luo