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» A framework for modelling virus gene expression data
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 6 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
125
Voted
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 6 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
EVOW
2007
Springer
15 years 7 months ago
Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new meth...
Daniel Marbach, Claudio Mattiussi, Dario Floreano
CIBCB
2005
IEEE
15 years 6 months ago
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence
— DNA microarray-based gene expression profiles have been established for a variety of adult cancers. This paper addresses application of an artificial neural network (ANN) wit...
Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andr...
IJSWIS
2007
87views more  IJSWIS 2007»
15 years 28 days ago
An Ontology-Based Data Mediation Framework for Semantic Environments
In a semantic environment data is described by ontologies and ontology mapping has become a crucial aspect in solving the heterogeneity problems of semantically described data. Th...
Adrian Mocan, Emilia Cimpian