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» Improved Algorithms for Data Migration
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BMCBI
2007
106views more  BMCBI 2007»
14 years 12 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...
IDEAS
2008
IEEE
80views Database» more  IDEAS 2008»
15 years 6 months ago
Improved count suffix trees for natural language data
With more and more natural language text stored in databases, handling respective query predicates becomes very important. Optimizing queries with predicates includes (sub)string ...
Guido Sautter, Cristina Abba, Klemens Böhm
BMCBI
2007
179views more  BMCBI 2007»
14 years 11 months ago
Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 4 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
CEC
2008
IEEE
15 years 6 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...