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» Unfolding of Microarray Data
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BMCBI
2006
140views more  BMCBI 2006»
13 years 7 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
BMCBI
2006
133views more  BMCBI 2006»
13 years 7 months ago
Web-based analysis of the mouse transcriptome using Genevestigator
Background: Gene function analysis often requires a complex and laborious sequence of laboratory and computer-based experiments. Choosing an effective experimental design generall...
Oliver Laule, Matthias Hirsch-Hoffmann, Tomas Hruz...
IWANN
2009
Springer
14 years 2 months ago
Bayesian Joint Estimation of CN and LOH Aberrations
SNP-microarrays are able to measure simultaneously both copy number and genotype at several single nucleotide polymorphism positions. Combining the two data, it is possible to bett...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
GCB
2005
Springer
138views Biometrics» more  GCB 2005»
14 years 1 months ago
Inferring Regulatory Systems with Noisy Pathway Information
: With increasing number of pathways available in public databases, the process of inferring gene regulatory networks becomes more and more feasible. The major problem of most of t...
Christian Spieth, Felix Streichert, Nora Speer, An...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 1 months ago
Identifying valid solutions for the inference of regulatory networks
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimi...
Christian Spieth, Felix Streichert, Nora Speer, An...