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» A Multi-metric Similarity Based Analysis of Microarray Data
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BMCBI
2007
111views more  BMCBI 2007»
15 years 4 months ago
Novel definition files for human GeneChips based on GeneAnnot
Background: Improvements in genome sequence annotation revealed discrepancies in the original probeset/gene assignment in Affymetrix microarray and the existence of differences be...
Francesco Ferrari, Stefania Bortoluzzi, Alessandro...
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 10 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
BIBE
2005
IEEE
15 years 10 months ago
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
Xian Xu, Aidong Zhang
ICANN
2009
Springer
15 years 10 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
PR
2006
116views more  PR 2006»
15 years 4 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli