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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 4 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 4 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 4 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 4 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 4 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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