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CIBCB
2008
IEEE
14 years 2 months ago
Classification of mouse fRNA genes using evolved neural networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Classification of EEG signals using relative wavelet energy and artificial neural networks
Ling Guo, Daniel Rivero, Jose A. Seoane, Alejandro...
CEC
2007
IEEE
13 years 11 months ago
Emergence of feedback in artificial gene regulatory networks
In this paper, we present a model for simulating the evolution of development together with a method for the analysis of emergence of negative feedback inside the regulatory networ...
Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard S...
BMCBI
2011
13 years 2 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...