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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
13 years 10 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
IWPC
2007
IEEE
13 years 11 months ago
A Hybrid Program Model for Object-Oriented Reverse Engineering
A commonly used strategy to address the scalability challenge in object-oriented reverse engineering is to synthesize coarse-grained representations, such as package diagrams. How...
Michael W. Godfrey
JBI
2006
13 years 4 months ago
Phylogenetics by likelihood: Evolutionary modeling as a tool for understanding the genome
Molecular evolutionary studies provide a means of investigating how cells function and how organisms adapt to their environment. The products of evolutionary studies provide medic...
Carolin Kosiol, Lee Bofkin, Simon Whelan
BMCBI
2006
128views more  BMCBI 2006»
13 years 4 months ago
Construction of a nasopharyngeal carcinoma 2D/MS repository with Open Source XML Database - Xindice
Background: Many proteomics initiatives require integration of all information with uniformcriteria from collection of samples and data display to publication of experimental resu...
Feng Li, Maoyu Li, Zhiqiang Xiao, Pengfei Zhang, J...
BIOCOMP
2008
13 years 6 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...