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TSMC
2008
126views more  TSMC 2008»
13 years 9 months ago
Information Visualization for DNA Microarray Data Analysis: A Critical Review
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression p...
Leishi Zhang, J. Kuljis, Xiaohui Liu
BMCBI
2008
108views more  BMCBI 2008»
13 years 9 months ago
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
Background: Motif finding algorithms have developed in their ability to use computationally efficient methods to detect patterns in biological sequences. However the posterior cla...
Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arl...
TEC
2008
146views more  TEC 2008»
13 years 9 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
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...