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BMCBI
2010
144views more  BMCBI 2010»
13 years 11 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
BMCBI
2008
140views more  BMCBI 2008»
13 years 11 months ago
Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework
Background: Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations ...
Kazutaka Katoh, Hiroyuki Toh
BMCBI
2006
165views more  BMCBI 2006»
13 years 11 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
BMCBI
2010
121views more  BMCBI 2010»
13 years 8 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 1 days ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke