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BMCBI
2008
142views more  BMCBI 2008»
13 years 10 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
2008
165views more  BMCBI 2008»
13 years 10 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
BMCBI
2010
151views more  BMCBI 2010»
13 years 10 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
BMCBI
2008
111views more  BMCBI 2008»
13 years 10 months ago
VisualRepbase: an interface for the study of occurrences of transposable element families
Background: Repbase is a reference database of eukaryotic repetitive DNA, which includes prototypic sequences of repeats and basic information described in annotations. Repbase al...
Sébastien Tempel, Matthew Jurka, Jerzy Jurk...
BMCBI
2007
120views more  BMCBI 2007»
13 years 10 months ago
Phylo-mLogo: an interactive and hierarchical multiple-logo visualization tool for alignment of many sequences
Background: When aligning several hundreds or thousands of sequences, such as epidemic virus sequences or homologous/orthologous sequences of some big gene families, to reconstruc...
Arthur Chun-Chieh Shih, D. T. Lee, Chin-Lin Peng, ...