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» Microarray results: how accurate are they
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BIBM
2008
IEEE
159views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Probe Design for Compressive Sensing DNA Microarrays
Abstract—Compressive Sensing Microarrays (CSM) are DNAbased sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA micr...
Wei Dai, Olgica Milenkovic, Mona A. Sheikh, Richar...
BMCBI
2006
155views more  BMCBI 2006»
13 years 9 months ago
AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
BMCBI
2005
94views more  BMCBI 2005»
13 years 9 months ago
Visualization-based discovery and analysis of genomic aberrations in microarray data
Background: Chromosomal copy number changes (aneuploidies) play a key role in cancer progression and molecular evolution. These copy number changes can be studied using microarray...
Chad L. Myers, Xing Chen, Olga G. Troyanskaya
IJCNN
2006
IEEE
14 years 3 months ago
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
Azhar Salim, Faramarz Valafar
ICANN
2003
Springer
14 years 3 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho