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» Classification of microarray data using gene networks
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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
APBC
2004
121views Bioinformatics» more  APBC 2004»
15 years 5 months ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
BMCBI
2010
84views more  BMCBI 2010»
15 years 3 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn
112
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BIBE
2007
IEEE
115views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Semiparametric RMA Background-Correction for Oligonucleotide Arrays
—Microarray technology has provided an opportunity to simultaneously monitor the expression levels of a large number of genes in response to intentional perturbations. A necessar...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
BMCBI
2011
14 years 10 months ago
The impact of quantitative optimization of hybridization conditions on gene expression analysis
Background: With the growing availability of entire genome sequences, an increasing number of scientists can exploit oligonucleotide microarrays for genome-scale expression studie...
Peter Sykacek, David P. Kreil, Lisa A. Meadows, Ri...