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» Three decades of data integration - All problems solved
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BMCBI
2008
142views more  BMCBI 2008»
15 years 3 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2006
126views more  BMCBI 2006»
15 years 3 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
VLDB
2000
ACM
146views Database» more  VLDB 2000»
15 years 7 months ago
A Database Platform for Bioinformatics
In recent years, new developments in genetics have generated a lot of interest in genomic and proteomic data, investing international significance (and competition) in the fledgli...
Sandeepan Banerjee
ICIC
2005
Springer
15 years 9 months ago
An Intelligent Assistant for Public Transport Management
This paper describes the architecture of a computer system conceived as an intelligent assistant for public transport management. The goal of the system is to help operators of a c...
Martín Molina
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church