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» Mining Quantitative Association Rules in Protein Sequences
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ASC
2011
13 years 2 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
BMCBI
2006
81views more  BMCBI 2006»
13 years 7 months ago
Multipolar representation of protein structure
Background: That the structure determines the function of proteins is a central paradigm in biology. However, protein functions are more directly related to cooperative effects at...
Apostol Gramada, Philip E. Bourne
FLAIRS
2007
13 years 10 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
BMCBI
2008
101views more  BMCBI 2008»
13 years 7 months ago
Prediction of glycosylation sites using random forests
Background: Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the...
Stephen E. Hamby, Jonathan D. Hirst
TCBB
2011
13 years 2 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...