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EPIA
2003
Springer
14 years 1 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
NAR
2011
257views Computer Vision» more  NAR 2011»
12 years 10 months ago
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. To...
Damian Szklarczyk, Andrea Franceschini, Michael Ku...
IEEEARES
2010
IEEE
14 years 1 months ago
Architecture-Aware Adaptive Deployment of Contextual Security Policies
—Deploying a security policy may prove difficult whenever the system does not embed all necessary security functionalities. Some specific functionalities are required to accura...
Stere Preda, Nora Cuppens-Boulahia, Fréd&ea...