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» A Method for Similarity-Based Grouping of Biological Data
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CIBCB
2005
IEEE
14 years 22 days ago
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
Nora Speer, Holger Fröhlich, Christian Spieth...
CMSB
2004
Springer
14 years 15 days ago
Combining State-Based and Scenario-Based Approaches in Modeling Biological Systems
Biological systems have recently been shown to share many of the properties of reactive systems. This observation has led to the idea of using methods devised for the construction ...
Jasmin Fisher, David Harel, E. Jane Albert Hubbard...
ICPR
2006
IEEE
14 years 8 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
13 years 12 months ago
Evolution of division of labor in genetically homogenous groups
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...
Heather Goldsby, David B. Knoester, Charles Ofria
BMCBI
2007
112views more  BMCBI 2007»
13 years 7 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...