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» Process Diagnostics: A Method Based on Process Mining
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191
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BMCBI
2008
160views more  BMCBI 2008»
15 years 4 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
BMCBI
2008
122views more  BMCBI 2008»
15 years 4 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
119
Voted
BMCBI
2006
87views more  BMCBI 2006»
15 years 4 months ago
Prediction of indirect interactions in proteins
Background: Both direct and indirect interactions determine molecular recognition of ligands by proteins. Indirect interactions can be defined as effects on recognition controlled...
Peteris Prusis, Staffan Uhlén, Ramona Petro...
BMCBI
2006
155views more  BMCBI 2006»
15 years 4 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
ENGL
2006
157views more  ENGL 2006»
15 years 4 months ago
Dealing with Acronyms in Biomedical Texts
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
David B. Bracewell, Fuji Ren, Shingo Kuroiwa
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