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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 18 days 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
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
16 years 18 days ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
CSB
2005
IEEE
135views Bioinformatics» more  CSB 2005»
16 years 18 days ago
Relating transcription factors, modules of genes and cultivation conditions in Saccharomyces cerevisiae
Usually, the functionality of a module of co-expressed genes is derived from enrichment within the module of a particular gene annotation category. The systematic setup of the che...
Theo A. Knijnenburg, Marcel J. T. Reinders, J. M. ...
CSB
2005
IEEE
135views Bioinformatics» more  CSB 2005»
16 years 18 days ago
Inverse Design of Large Molecules using Linear Diophantine Equations
We have previously developed a method [1] for the inverse design of small ligands. This method can be used to design novel compounds with optimized properties (such as drugs) and ...
Shawn Martin, W. Michael Brown, Jean-Loup Faulon, ...
CSB
2005
IEEE
137views Bioinformatics» more  CSB 2005»
16 years 18 days ago
A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
Will Sheffler, Eli Upfal, John Sedivy, William Sta...
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