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» Evolutionary Biclustering of Microarray Data
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GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 29 days 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...
BMCBI
2010
148views more  BMCBI 2010»
13 years 7 months ago
Applying unmixing to gene expression data for tumor phylogeny inference
Background: While in principle a seemingly infinite variety of combinations of mutations could result in tumor development, in practice it appears that most human cancers fall int...
Russell Schwartz, Stanley Shackney
EVOW
2006
Springer
13 years 11 months ago
Hierarchical Clustering, Languages and Cancer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
BMCBI
2005
201views more  BMCBI 2005»
13 years 7 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
CIBCB
2005
IEEE
14 years 1 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— 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 memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...