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ISBRA
2009
Springer
15 years 8 months ago
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
Peter Larsen, Yang Dai
94
Voted
CIBCB
2005
IEEE
15 years 7 months ago
Identification of Functional RNA 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
BMCBI
2006
72views more  BMCBI 2006»
15 years 1 months ago
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in c
Background: Protein-protein interactions have traditionally been studied on a small scale, using classical biochemical methods to investigate the proteins of interest. More recent...
Pall F. Jonsson, Tamara Cavanna, Daniel Zicha, Pau...
122
Voted
EVOW
2006
Springer
15 years 5 months ago
Artificial Life Models in Lung CTs
A new method for the analysis of 3D medical images is introduced. The algorithm is based on Biological Models of ants known as Artificial Life models. Test images (lung Computed To...
Sorin Cristian Cheran, Gianfranco Gargano
RECOMB
2004
Springer
16 years 2 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir