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» Comparison of Access Methods for Time-Evolving Data
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BMCBI
2008
122views more  BMCBI 2008»
13 years 5 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
BMCBI
2008
108views more  BMCBI 2008»
13 years 5 months ago
Supervised Lowess normalization of comparative genome hybridization data - application to lactococcal strain comparisons
Background: Array-based comparative genome hybridization (aCGH) is commonly used to determine the genomic content of bacterial strains. Since prokaryotes in general have less cons...
Sacha A. F. T. van Hijum, Richard J. S. Baerends, ...
DAWAK
2006
Springer
13 years 9 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
BMCBI
2005
125views more  BMCBI 2005»
13 years 5 months ago
Query3d: a new method for high-throughput analysis of functional residues in protein structures
Background: The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar ...
Gabriele Ausiello, Allegra Via, Manuela Helmer-Cit...
BMCBI
2008
137views more  BMCBI 2008»
13 years 5 months ago
Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data
Background: Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene name...
Michael J. Gilchrist, Mikkel B. Christensen, Richa...